Detection Method, Device, Electronic Equipment and Medium for Fault Frequency of Coal Mining Equipment

Abstract

The present disclosure provides a method and device for detecting the fault frequency of coal mining equipment. The method includes: obtaining a signal to be detected of the coal mining equipment, constructing a differential oscillator detection model, adjusting the model parameters of the differential oscillator detection model until the differential oscillator detection model is in the optimal pole-ring state, obtaining a reference phase diagram output by the differential oscillator detection model, inputting the signal to be detected into the differential oscillator detection model to output a phase diagram to be detected, respectively performing Fourier transform processing on the reference phase diagram and the phase diagram to be detected to obtain a reference phase diagram spectrum corresponding to the reference phase diagram and a phase diagram spectrum to be detected corresponding to the phase diagram to be detected, and determining whether the signal to be detected contains other fault detection frequencies according to the phase diagram spectrum to be detected and the reference phase diagram spectrum, thereby breaking through the limitation that the differential oscillator detection model can only detect known and single frequencies, and realizing the detection of multiple fault frequencies under the condition that the specific values of the detected fault frequencies cannot be determined.

Description

Technical Field

[0001] The present disclosure relates to the technical field of fault diagnosis of coal mining equipment, and particularly to a method, device, electronic device and storage medium for detecting the fault frequency of coal mining equipment. Background Art

[0002] With the increasing improvement of the intelligent level of coal mining equipment, especially the rise of the upsurge of smart mine construction, reducing the number of personnel, improving efficiency and enhancing safety have become important indicators for measuring the effect of smart mine construction. One of the prerequisite conditions for realizing these indicators is the safe and reliable operation of coal mining equipment. Therefore, the fault diagnosis technology of coal mining equipment has become a research hotspot for many research institutions and scientific research institutes. However, due to the special working conditions of coal mining equipment (impact, multi-dust, humidity), combined with factors such as variable working conditions, variable loads, and lack of effective data samples on site, it has caused great difficulties in detecting the fault frequency of coal mining equipment.

[0003] In the related technology, the detection method of the fault frequency of coal mining equipment cannot perform frequency detection on other unknown fault frequencies in the signal to be detected, so that the detection method of the fault frequency of coal mining equipment has great detection limitations and cannot meet the detection requirements of the fault frequency of coal mining equipment under complex working conditions such as variable working conditions and variable loads. Summary of the Invention

[0004] The present disclosure aims to solve at least one of the technical problems in the related technology to some extent.

[0005] To this end, the purpose of the present disclosure is to propose a method, device, electronic device and storage medium for detecting the fault frequency of coal mining equipment, which can combine the differential oscillator detection model to realize the multi-fault frequency detection of coal mining equipment, thereby breaking through the limitation that the differential oscillator detection model can only detect known and single frequencies, and realizing the multi-fault frequency detection under the condition that the specific values of the detected fault frequencies cannot be determined.

[0006] The method for detecting the fault frequency of coal mining equipment proposed in the first aspect embodiment of the present disclosure includes: obtaining a signal to be detected of the coal mining equipment; constructing a differential oscillator detection model, where the differential oscillator detection model is used to detect the frequency of the signal to be detected; adjusting the model parameters of the differential oscillator detection model until the differential oscillator detection model is in the best polar ring state to obtain a reference phase diagram output by the differential oscillator detection model; inputting the signal to be detected into the differential oscillator detection model to obtain a phase diagram to be detected output by the differential oscillator detection model; respectively performing Fourier transform processing on the reference phase diagram and the phase diagram to be detected to obtain a reference phase diagram spectrum corresponding to the reference phase diagram and a phase diagram spectrum to be detected corresponding to the phase diagram to be detected; and determining whether the signal to be detected contains other fault detection frequencies according to the phase diagram spectrum to be detected and the reference phase diagram spectrum.

[0007] The detection method for the fault frequency of coal mining equipment proposed in the first aspect embodiment of the present disclosure includes obtaining a signal to be detected of the coal mining equipment and constructing a differential oscillator detection model. The differential oscillator detection model is used to detect the frequency of the signal to be detected. Then, the model parameters of the differential oscillator detection model are adjusted until the differential oscillator detection model is in the optimal pole-ring state to obtain a reference phase diagram output by the differential oscillator detection model. The signal to be detected is input into the differential oscillator detection model to obtain a phase diagram to be detected output by the differential oscillator detection model. Fourier transform processing is respectively performed on the reference phase diagram and the phase diagram to be detected to obtain a reference phase diagram spectrum corresponding to the reference phase diagram and a phase diagram spectrum to be detected corresponding to the phase diagram to be detected. And based on the phase diagram spectrum to be detected and the reference phase diagram spectrum, it is determined whether the signal to be detected contains other fault detection frequencies. Thus, it is possible to combine the differential oscillator detection model to achieve multi-fault frequency detection of coal mining equipment, thereby breaking through the limitation that the differential oscillator detection model can only detect known and single frequencies, and realizing the detection of multi-fault frequencies under the condition that the specific values of the detected fault frequencies cannot be determined.

[0008] The detection device for the fault frequency of coal mining equipment proposed in the second aspect embodiment of the present disclosure includes: an acquisition module for acquiring a signal to be detected of the coal mining equipment; a construction module for constructing a differential oscillator detection model, where the differential oscillator detection model is used to detect the frequency of the signal to be detected; an adjustment module for adjusting the model parameters of the differential oscillator detection model until the differential oscillator detection model is in the optimal pole-ring state to obtain a reference phase diagram output by the differential oscillator detection model; a first processing module for inputting the signal to be detected into the differential oscillator detection model to obtain a phase diagram to be detected output by the differential oscillator detection model; a second processing module for respectively performing Fourier transform processing on the reference phase diagram and the phase diagram to be detected to obtain a reference phase diagram spectrum corresponding to the reference phase diagram and a phase diagram spectrum to be detected corresponding to the phase diagram to be detected; a first determination module for determining whether the signal to be detected contains other fault detection frequencies according to the phase diagram spectrum to be detected and the reference phase diagram spectrum.

[0009] The detection device for the fault frequency of coal mining equipment proposed in the second aspect of the present disclosure obtains the signal to be detected of the coal mining equipment and constructs a differential oscillator detection model. The differential oscillator detection model is used to detect the frequency of the signal to be detected, and then adjusts the model parameters of the differential oscillator detection model until the differential oscillator detection model is in the best pole-ring state, so as to obtain the reference phase diagram output by the differential oscillator detection model, and inputs the signal to be detected into the differential oscillator detection model to obtain the phase diagram to be detected output by the differential oscillator detection model. Then, Fourier transform processing is respectively performed on the reference phase diagram and the phase diagram to be detected to obtain the reference phase diagram spectrum corresponding to the reference phase diagram and the phase diagram spectrum to be detected corresponding to the phase diagram to be detected. And based on the phase diagram spectrum to be detected and the reference phase diagram spectrum, it is determined whether the signal to be detected contains other fault detection frequencies. Thus, it can combine the differential oscillator detection model to realize the multi-fault frequency detection of coal mining equipment, thereby breaking through the limitation that the differential oscillator detection model can only detect known and single frequencies, and realizing the multi-fault frequency detection under the condition that the specific values of the detected fault frequencies cannot be determined.

[0010] The third aspect of the present disclosure proposes an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the method for detecting the fault frequency of coal mining equipment proposed in the first aspect of the present disclosure.

[0011] The fourth aspect of the present disclosure proposes a non-transitory computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the method for detecting the fault frequency of coal mining equipment proposed in the first aspect of the present disclosure.

[0012] The fifth aspect of the present disclosure proposes a computer program product. When the instruction processor in the computer program product executes, it executes the method for detecting the fault frequency of coal mining equipment proposed in the first aspect of the present disclosure.

[0013] The additional aspects and advantages of the present disclosure will be partially given in the following description, partially become obvious from the following description, or be understood through the practice of the present disclosure. Description of the Drawings

[0014] The above and / or additional aspects and advantages of the present disclosure will become obvious and easy to understand from the following description of the embodiments in conjunction with the drawings, where:

[0015] Figure 1 is a schematic flowchart of the method for detecting the fault frequency of coal mining equipment proposed in an embodiment of the present disclosure;

[0016] Figure 2 is a schematic diagram of the phase diagram to be detected proposed in an embodiment of the present disclosure;

[0017] Figure 3 It is a schematic diagram of a reference phase diagram proposed in an embodiment of the present disclosure;

[0018] Figure 4 It is a schematic diagram of the spectrum of the phase diagram to be detected proposed in an embodiment of the present disclosure;

[0019] Figure 5 It is a schematic diagram of the spectrum of the reference phase diagram proposed in an embodiment of the present disclosure;

[0020] Figure 6 It is a schematic diagram of the spectrum of the phase diagram to be detected after magnification proposed in an embodiment of the present disclosure;

[0021] Figure 7 It is a schematic flowchart of a method for detecting the fault frequency of a coal mining machine device proposed in another embodiment of the present disclosure;

[0022] Figure 8 It is a schematic structural diagram of a device for detecting the fault frequency of a coal mining machine device proposed in an embodiment of the present disclosure;

[0023] Figure 9 It is a schematic structural diagram of a device for detecting the fault frequency of a coal mining machine device proposed in another embodiment of the present disclosure;

[0024] Figure 10 It shows a block diagram of an exemplary electronic device suitable for implementing the embodiments of the present disclosure. Detailed Embodiments

[0025] The embodiments of the present disclosure will be described in detail below. The examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary only for explaining the present disclosure and should not be construed as a limitation of the present disclosure. On the contrary, the embodiments of the present disclosure include all variations, modifications, and equivalents falling within the spirit and scope of the appended claims.

[0026] Figure 1 It is a schematic flowchart of a method for detecting the fault frequency of a coal mining machine device proposed in an embodiment of the present disclosure.

[0027] It should be noted that the execution subject of the method for detecting the fault frequency of the coal mining machine device in this embodiment is a device for detecting the fault frequency of the coal mining machine device. This device can be implemented in software and / or hardware, and this device can be configured in an electronic device, which can include but is not limited to a terminal, a server, etc.

[0028] As Figure 1 shown, the method for detecting the fault frequency of the coal mining machine device includes:

[0029] S101: Obtain the signal to be detected of the coal mining machine equipment.

[0030] Among them, the signal collected for the fault detection of the coal mining machine equipment can be called the signal to be detected.

[0031] That is to say, in the embodiments of the present disclosure, a reference detection signal with a determined frequency and a determined amplitude can be determined in advance. Then, during the execution of the subsequent detection method for the fault frequency of the coal mining machine equipment, the determined frequency and the determined amplitude of the reference detection signal can be combined to determine the signal frequency and the signal amplitude existing in the signal to be detected, so as to assist in the execution of the subsequent detection method for the fault frequency of the coal mining machine equipment. For details, please refer to the subsequent embodiments.

[0032] In some embodiments, obtaining the signal to be detected of the coal mining machine equipment may be to deploy multiple sensors in advance in the roadway where the coal mining machine equipment operates, and through the sensors, obtain the vibration acceleration signal of the coal mining machine equipment as the signal to be detected during the operation of the coal mining machine equipment, and there is no limitation on this.

[0033] In other embodiments, obtaining the signal to be detected of the coal mining machine equipment may also be to pre-configure a corresponding monitoring device for the coal mining machine equipment, and through the monitoring device, continuously monitor the operation process of the coal mining machine equipment. When a fault occurs in the coal mining machine equipment, obtain the signal to be detected of the coal mining machine equipment through the data transmission interface pre-configured for the detection device of the fault frequency of the coal mining machine equipment, and there is no limitation on this.

[0034] S102: Construct a differential oscillator detection model, where the differential oscillator detection model is used to detect the frequency of the signal to be detected.

[0035] In the embodiments of the present disclosure, due to the influence of factors such as gangue, load distribution, and rotational speed during the actual operation of the coal mining machine equipment, its fault frequency is inconsistent with the theoretical or empirical calculated value, but a small frequency band centered on the theoretical or empirical calculated value. The differential oscillator detection is essentially a small frequency band detection centered on the frequency to be detected. In addition, the differential oscillator has strong anti-noise ability, so that it has better anti-interference ability under the influence of variable working conditions and variable loads of the coal mining machine equipment.

[0036] In the embodiments of the present disclosure, a differential oscillator detection model for detecting the fault frequency of the signal to be detected can be constructed. For example, after obtaining the signal to be detected of the coal mining machine equipment, an initial differential oscillator detection model can be obtained, and then the parameters of the initial differential oscillator detection model can be optimized to obtain a differential oscillator detection model that can be used to implement the detection method for the fault frequency of the coal mining machine equipment in the embodiments of the present disclosure. Or, in any other possible way, a differential oscillator detection model can be constructed, and there is no limitation on this.

[0037] Optionally, in some embodiments, to construct a differential oscillator detection model, it may be to obtain multiple fault frequencies of the coal mining machine equipment and a reference detection signal, determine a reference fault detection frequency from the multiple fault frequencies, and then construct a differential oscillator detection model according to the signal to be detected, the reference detection signal, and the reference fault detection frequency.

[0038] Among them, the reference detection signal can be used as a reference for determining the amplitude of the spectrum to be detected of the signal to be detected during the execution of the subsequent detection method for the fault frequency of the coal mining machine equipment.

[0039] In the embodiments of the present disclosure, after determining multiple fault frequencies of the coal mining machine equipment, a certain fault frequency can be determined from the multiple fault frequencies as the reference fault detection frequency. For example, the inner ring of the motor support bearing at 123.14 Hz can be selected as the reference fault detection frequency, and there is no limitation thereto.

[0040] In the embodiments of the present disclosure, the differential oscillator detection model can be expressed as:

[0041] x k+1 = ax k + by k ;

[0042]

[0043] Among them, k is a function variable, a, b, c, and d are all parameters of the differential oscillator detection model, p is the amplification factor, f e is the system excitation frequency, T(k) is the signal to be detected, f d is the reference fault detection frequency, f s is the sampling frequency, f g is the natural frequency of the differential oscillator detection model, H(k) = sin(2kπf d ), which represents the reference detection signal.

[0044] S103: Adjust the model parameters of the differential oscillator detection model until the differential oscillator detection model is in the best polar ring state to obtain the reference phase diagram output by the differential oscillator detection model.

[0045] In the embodiments of the present disclosure, the model parameters of the differential oscillator detection model can be adjusted, that is, when only the reference detection signal is input to the differential oscillator detection model (that is, the signal to be detected T(k) = 0), until the phase diagram output by the differential oscillator detection model can converge to the best polar ring state (when the phase diagram output by the differential oscillator detection model can converge to the best polar ring state, the phase diagram output by the differential oscillator detection model can be called the reference phase diagram, as Figure 3 shown, Figure 3It is a schematic diagram of a reference phase diagram proposed in an embodiment of the present disclosure. Subsequently, the subsequent detection method for the fault frequency of coal mining equipment can be executed in combination with the reference phase diagram. For details, refer to the subsequent embodiments.

[0046] S104: Input the signal to be detected into the differential oscillator detection model to obtain the phase diagram to be detected output by the differential oscillator detection model.

[0047] In the embodiment of the present disclosure, when the model parameters of the differential oscillator detection model are adjusted until the differential oscillator detection model is in the optimal pole-ring state, the signal to be detected can be input into the differential oscillator detection model to obtain the phase diagram output by the differential oscillator detection model in this state. This phase diagram can be referred to as the phase diagram to be detected.

[0048] That is to say, in the embodiment of the present disclosure, when obtaining the signal to be detected of the coal mining equipment, the signal to be detected (i.e., the signal to be detected T(k) (T(k)≠0)) can be input into the previously constructed differential oscillator detection model to obtain the phase diagram to be detected (as Figure 2 shown, Figure 2 It is a schematic diagram of the phase diagram to be detected proposed in an embodiment of the present disclosure). Subsequently, the subsequent detection method for the fault frequency of coal mining equipment can be executed in combination with the phase diagram to be detected. For details, refer to the subsequent embodiments.

[0049] S105: Perform Fourier transform processing on the reference phase diagram and the phase diagram to be detected respectively to obtain the reference phase diagram spectrum corresponding to the reference phase diagram and the phase diagram spectrum to be detected corresponding to the phase diagram to be detected.

[0050] Among them, the phase diagram spectrum corresponding to the phase diagram to be detected can be referred to as the phase diagram spectrum to be detected. For example, it can be the Fourier transform processing of the phase diagram to be detected shown above to obtain the phase diagram spectrum to be detected as shown in Figure 2 shown, Figure 4 It is a schematic diagram of the phase diagram spectrum to be detected proposed in an embodiment of the present disclosure. Figure 4 It is a schematic diagram of the phase diagram spectrum to be detected proposed in an embodiment of the present disclosure.

[0051] Among them, the phase diagram spectrum corresponding to the reference phase diagram can be referred to as the reference phase diagram spectrum. For example, it can be the Fourier transform processing of the phase diagram to be detected shown above to obtain the reference phase diagram spectrum as shown in Figure 3 shown, Figure 5 It is a schematic diagram of the reference phase diagram spectrum proposed in an embodiment of the present disclosure. Figure 5 It is a schematic diagram of the reference phase diagram spectrum proposed in an embodiment of the present disclosure.

[0052] S104: Determine whether the signal to be detected contains other fault detection frequencies according to the phase diagram spectrum to be detected and the reference phase diagram spectrum.

[0053] Among them, during the execution of the detection method for the fault frequency of coal mining equipment, there is no pre-calibrated fault detection frequency other than the reference fault detection frequency, which can be called other fault detection frequencies.

[0054] That is to say, the detection method for the fault frequency of coal mining equipment described in the embodiments of the present disclosure can detect the fault frequency under the condition of unknown fault frequency based on the differential oscillator detection model.

[0055] In the embodiments of the present disclosure, after obtaining the reference phase diagram spectrum and the spectrum of the signal to be detected, when the frequency components of the spectrum of the signal to be detected and the reference phase diagram spectrum are the same, it is determined that the signal to be detected does not contain other fault detection frequencies. When the frequency components of the spectrum of the signal to be detected and the reference phase diagram spectrum are different, other phase diagram frequencies [f 1 , f 2 ,.... f n in the spectrum of the signal to be detected are extracted, and conversion processing is performed on the other phase diagram frequencies, that is, the conversion between the phase diagram frequency f i and its corresponding true frequency (other fault detection frequency) F i is realized. The specific conversion process is as follows:

[0056]

[0057] Among them, F i is the other fault detection frequency, f i is the phase diagram frequency, f d is the frequency to be detected, f e is the system excitation frequency, f g is the natural frequency of the differential oscillator detection model.

[0058] For example, it can be to amplify the spectrum of the signal to be detected shown above Figure 4 to obtain the amplified spectrum of the signal to be detected as shown in Figure 6 ( Figure 6 is a schematic diagram of the amplified spectrum of the signal to be detected proposed according to an embodiment of the present disclosure). As shown in Figure 6 , it can be determined that there are two phase diagram frequencies f 1 = 5160 and f 2 = 5210.63 in the spectrum of the signal to be detected.

[0059] Then, conversion processing can be performed on the two phase diagram frequencies f 1 = 5160 and f 2 = 5210.63 to obtain the corresponding other fault detection frequencies F 1 = 76.27Hz, F 2 = 25.64Hz. Thus, it can be determined that the signal to be detected contains other fault detection frequencies.

[0060] It should be noted that the method for detecting the fault frequency of coal mining equipment described in the embodiments of the present disclosure can be applied to the scenario of fault detection of coal mining equipment, that is, it can be to collect the signal to be detected of the coal mining equipment, and determine whether the signal to be detected contains other fault detection frequencies, and when it is determined that the signal to be detected contains other fault detection frequencies, it is determined that the coal mining equipment corresponding to the other fault detection frequencies has a fault (for example, it can be determined that F 1 = 76.27 Hz is consistent with the fault frequency of the outer ring of the motor bearing, and F 2 = 25.64 Hz is consistent with the fault frequency of the motor, and thus it can be determined that the inner ring and the outer ring of the motor bearing of the coal mining equipment have faults at the same time, and there is no limitation to this.

[0061] In this embodiment, by obtaining the signal to be detected of the coal mining equipment and constructing a differential oscillator detection model, where the differential oscillator detection model is used to detect the frequency of the signal to be detected, then adjusting the model parameters of the differential oscillator detection model until the differential oscillator detection model is in the best polar ring state to obtain the reference phase diagram output by the differential oscillator detection model, and inputting the signal to be detected into the differential oscillator detection model to obtain the phase diagram to be detected output by the differential oscillator detection model, and respectively performing Fourier transform processing on the reference phase diagram and the phase diagram to be detected to obtain the reference phase diagram spectrum corresponding to the reference phase diagram and the phase diagram spectrum to be detected corresponding to the phase diagram to be detected, and determining whether the signal to be detected contains other fault detection frequencies according to the phase diagram spectrum to be detected and the reference phase diagram spectrum. Thus, it is possible to combine the differential oscillator detection model to realize the multi-fault frequency detection of the coal mining equipment, thereby breaking through the limitation that the differential oscillator detection model can only detect known and single frequencies, and realizing the multi-fault frequency detection under the condition that the specific numerical value of the detected fault frequency cannot be determined.

[0062] Figure 7 It is a schematic flow chart of the method for detecting the fault frequency of coal mining equipment proposed in another embodiment of the present disclosure.

[0063] As Figure 7 shown, the method for detecting the fault frequency of the coal mining equipment includes:

[0064] S701: Obtain the signal to be detected of the coal mining equipment.

[0065] S702: Construct a differential oscillator detection model, where the differential oscillator detection model is used to detect the frequency of the signal to be detected.

[0066] S703: Adjust the model parameters of the differential oscillator detection model until the differential oscillator detection model is in the best polar ring state to obtain the reference phase diagram output by the differential oscillator detection model.

[0067] S704: Input the signal to be detected into the differential oscillator detection model to obtain the phase diagram to be detected output by the differential oscillator detection model.

[0068] S705: Perform Fourier transform processing on the reference phase diagram and the phase diagram to be detected respectively to obtain the reference phase diagram spectrum corresponding to the reference phase diagram and the phase diagram spectrum to be detected corresponding to the phase diagram to be detected.

[0069] For the descriptions of S701 - S705, please refer to the above embodiments for details and will not be elaborated here.

[0070] S706: Determine whether the signal to be detected contains the reference fault detection frequency according to the reference spectrum amplitude, the reference phase diagram spectrum, and the phase diagram spectrum to be detected.

[0071] The method for detecting the fault frequency of the coal mining equipment described in the embodiments of the present disclosure can also support the detection of the pre - calibrated reference fault detection frequency, that is, it can determine whether the signal to be detected contains the reference fault detection frequency.

[0072] Optionally, in some embodiments, determining whether the signal to be detected contains the reference fault detection frequency according to the reference spectrum amplitude, the phase diagram spectrum to be detected, and the reference phase diagram spectrum may be to analyze and obtain the amplitude of the spectrum to be detected of the signal to be detected from the phase diagram spectrum to be detected according to the reference spectrum amplitude and the reference phase diagram spectrum. When the amplitude of the spectrum to be detected is greater than the reference spectrum amplitude, it is determined that the signal to be detected contains the reference fault detection frequency. When the amplitude of the spectrum to be detected is less than or equal to the reference spectrum amplitude, it is determined that the signal to be detected does not contain the reference fault detection frequency.

[0073] Among them, the signal frequency domain amplitude corresponding to the reference detection signal can be referred to as the reference spectrum amplitude. The reference spectrum amplitude can be, for example: A 1 .

[0074] Among them, the signal frequency domain amplitude corresponding to the signal to be detected can be referred to as the amplitude of the spectrum to be detected. The amplitude of the spectrum to be detected can be expressed as: A 2 .

[0075] In the embodiments of the present disclosure, it may be to analyze and obtain the amplitude of the spectrum to be detected from the phase diagram spectrum to be detected according to the reference spectrum amplitude and the reference phase diagram spectrum, that is, to determine the amplitude change ratio of the phase diagram spectrum to be detected compared with the reference phase diagram spectrum, and combine the reference spectrum amplitude to determine the amplitude of the spectrum to be detected. Then, the amplitude of the spectrum to be detected A 2 and the reference spectrum amplitude: A 1, perform comparison, and when the amplitude of the spectrum to be detected is greater than the amplitude of the reference spectrum, it is determined that the signal to be detected contains the reference fault detection frequency; when the amplitude of the spectrum to be detected is less than or equal to the amplitude of the reference spectrum, it is determined that the signal to be detected does not contain the reference fault detection frequency.

[0076] For example, assume that the amplitude of the reference spectrum of the reference detection signal is A 1 = 1197.97, and the amplitude of the spectrum to be detected A 2 = 1792.78, then it can be determined that A 1 < A 2 , that is, it can be determined that the signal to be detected contains the reference detection frequency, and there is no limitation on this.

[0077] It should be noted that the method for detecting the fault frequency of the coal mining equipment described in the embodiments of the present disclosure can be applied to the scenario of fault detection of coal mining equipment, that is, it can be to collect the signal to be detected of the coal mining equipment and determine whether the signal to be detected contains the reference fault detection frequency (for example, the inner ring fault frequency of the motor support bearing is 123.14 Hz), and when it is determined that the signal to be detected contains the reference fault detection frequency, it is determined that there is a fault in the inner ring of the motor support bearing, and there is no limitation on this.

[0078] S707: Determine whether the signal to be detected contains other fault detection frequencies according to the spectrum of the phase diagram to be detected and the spectrum of the reference phase diagram.

[0079] For the description of S707, reference can be specifically made to the above embodiments, and details are not described herein again.

[0080] In an embodiment of the present disclosure, by obtaining a signal to be detected of a coal mining machine device, a differential oscillator detection model is constructed. The differential oscillator detection model is used to detect the frequency of the signal to be detected, and the model parameters of the differential oscillator detection model are adjusted until the differential oscillator detection model is in the best pole-ring state, so as to obtain a reference phase diagram output by the differential oscillator detection model. Then, the signal to be detected is input into the differential oscillator detection model to obtain a phase diagram to be detected output by the differential oscillator detection model. Next, Fourier transform processing is respectively performed on the reference phase diagram and the phase diagram to be detected to obtain a reference phase diagram spectrum corresponding to the reference phase diagram and a phase diagram spectrum to be detected corresponding to the phase diagram to be detected. Then, based on the reference spectrum amplitude, the reference phase diagram spectrum, and the phase diagram spectrum to be detected, it is determined whether the signal to be detected contains a reference fault detection frequency, and based on the phase diagram spectrum to be detected and the reference phase diagram spectrum, it is determined whether the signal to be detected contains other fault detection frequencies. Thus, the differential oscillator detection model can be combined to achieve multi-fault frequency detection of the coal mining machine device, so that on the basis of being able to detect known and single reference fault detections, the differential oscillator detection model can detect other unknown fault detection frequencies, thereby breaking through the limitation that the differential oscillator detection model can only detect known and single frequencies, and realizing multi-fault frequency detection under the condition that the specific values of the detected fault frequencies cannot be determined.

[0081] Figure 8 FIG. 4 is a schematic structural diagram of a detection device for fault frequencies of a coal mining machine device proposed in an embodiment of the present disclosure.

[0082] As Figure 8 shown in FIG. 5, the detection device 80 for fault frequencies of the coal mining machine device includes:

[0083] An acquisition module 801, configured to acquire a signal to be detected of the coal mining machine device;

[0084] A construction module 802, configured to construct a differential oscillator detection model, where the differential oscillator detection model is used to detect the frequency of the signal to be detected;

[0085] An adjustment module 803, configured to adjust the model parameters of the differential oscillator detection model until the differential oscillator detection model is in the best pole-ring state, so as to obtain a reference phase diagram output by the differential oscillator detection model;

[0086] A first processing module 804, configured to input the signal to be detected into the differential oscillator detection model to obtain a phase diagram to be detected output by the differential oscillator detection model;

[0087] A second processing module 805, configured to respectively perform Fourier transform processing on the reference phase diagram and the phase diagram to be detected to obtain a reference phase diagram spectrum corresponding to the reference phase diagram and a phase diagram spectrum to be detected corresponding to the phase diagram to be detected;

[0088] A first determination module 806, configured to determine whether other fault detection frequencies are included in the signal to be detected according to the spectrum of the phase diagram to be detected and the spectrum of the reference phase diagram.

[0089] In some embodiments of the present disclosure, as Figure 9 shown, Figure 9 is a schematic structural diagram of a detection device for fault frequencies of a coal mining machine device proposed in another embodiment of the present disclosure. The construction module 802 is further configured to:

[0090] Obtain multiple fault frequencies of the coal mining machine device and a reference detection signal;

[0091] Determine a reference fault detection frequency from the multiple fault frequencies;

[0092] Construct a differential oscillator detection model according to the signal to be detected, the reference detection signal, and the reference fault detection frequency.

[0093] In some embodiments of the present disclosure, the reference detection signal has a corresponding reference spectrum amplitude;

[0094] Wherein, the detection device 80 for fault frequencies of the coal mining machine device further includes:

[0095] A second determination module 807, configured to determine whether the reference fault detection frequency is included in the signal to be detected according to the reference spectrum amplitude, the reference phase diagram spectrum, and the spectrum of the phase diagram to be detected after performing Fourier transform processing on the reference phase diagram and the phase diagram to be detected respectively to obtain the reference phase diagram spectrum corresponding to the reference phase diagram and the spectrum of the phase diagram to be detected corresponding to the phase diagram to be detected.

[0096] In some embodiments of the present disclosure, the second determination module 807 is further configured to:

[0097] Analyze and obtain the spectrum amplitude to be detected of the signal to be detected from the spectrum of the phase diagram to be detected according to the reference spectrum amplitude and the reference phase diagram spectrum;

[0098] If the spectrum amplitude to be detected is greater than the reference spectrum amplitude, it is determined that the reference fault detection frequency is included in the signal to be detected;

[0099] If the spectrum amplitude to be detected is less than or equal to the reference spectrum amplitude, it is determined that the reference fault detection frequency is not included in the signal to be detected.

[0100] In some embodiments of the present disclosure, the first determination module 806 is further configured to:

[0101] If the frequency components of the spectrum of the phase diagram to be detected and the spectrum of the reference phase diagram are the same, it is determined that no other fault detection frequencies are included in the signal to be detected;

[0102] If the frequency components of the phase diagram spectrum to be detected and the reference phase diagram spectrum are different, the phase diagram frequencies in the reference phase diagram spectrum are converted to determine other fault detection frequencies included in the signal to be detected.

[0103] Corresponding to Figures 1 to 7 the method for detecting the fault frequency of a coal mining machine device provided in the above Figures 1 to 7 embodiment, the present disclosure also provides a device for detecting the fault frequency of a coal mining machine device. Since the device for detecting the fault frequency of a coal mining machine device provided in the embodiments of the present disclosure corresponds to

[0104] the method for detecting the fault frequency of a coal mining machine device provided in the above

[0105] embodiment, the implementation manners of the method for detecting the fault frequency of a coal mining machine device are also applicable to the device for detecting the fault frequency of a coal mining machine device provided in the embodiments of the present disclosure, and will not be described in detail in the embodiments of the present disclosure.

[0106] To implement the above embodiment, the present disclosure also proposes an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the method for detecting the fault frequency of a coal mining machine device as proposed in the foregoing embodiments of the present disclosure is implemented.

[0107] To implement the above embodiment, the present disclosure also proposes a non-transitory computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the method for detecting the fault frequency of a coal mining machine device as proposed in the foregoing embodiments of the present disclosure is implemented.

[0108] Figure 10 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown. Figure 10 The electronic device 12 shown is merely an example and should not impose any limitation on the functions and usage scope of the embodiments of the present disclosure.

[0109] As Figure 10 shown, the electronic device 12 appears in the form of a general-purpose computing device. The components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 connecting different system components (including the system memory 28 and the processing unit 16).

[0110] The bus 18 represents one or more of several types of bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. By way of example, these architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnection (PCI) bus.

[0111] The electronic device 12 typically includes a variety of computer system-readable media. These media can be any available media accessible by the electronic device 12, including volatile and non-volatile media, removable and non-removable media.

[0112] The memory 28 may include computer system-readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The electronic device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 can be used to read and write non-removable, non-volatile magnetic media ( Figure 10 not shown, commonly referred to as a "hard disk drive").

[0113] Although Figure 10Not shown in the figure, a disk drive for reading and writing a removable non-volatile disk (such as a "floppy disk") and an optical disk drive for reading and writing a removable non-volatile optical disk (such as a Compact Disc Read Only Memory (hereinafter referred to as "CD-ROM"), a Digital Video Disc Read Only Memory (hereinafter referred to as "DVD-ROM") or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 through one or more data medium interfaces. The memory 28 may include at least one program product having a set (such as at least one) of program modules configured to perform the functions of the various embodiments of the present disclosure.

[0114] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include the implementation of a network environment. The program modules 42 generally perform the functions and / or methods in the embodiments described in the present disclosure.

[0115] The electronic device 12 may also communicate with one or more external devices 14 (such as a keyboard, a pointing device, a display 24, etc.), and may also communicate with one or more devices that enable a user to interact with the electronic device 12, and / or communicate with any device that enables the electronic device 12 to communicate with one or more other computing devices (such as a network card, a modem, etc.). Such communication may be carried out through the input / output (I / O) interface 22. In addition, the electronic device 12 may also communicate with one or more networks (such as a Local Area Network (hereinafter referred to as "LAN"), a Wide Area Network (hereinafter referred to as "WAN") and / or a public network, such as the Internet) through the network adapter 20. As shown in the figure, the network adapter 20 communicates with other modules of the electronic device 12 through the bus 18. It should be understood that although not shown in the figure, other hardware and / or software modules may be used in combination with the electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, and data backup storage systems, etc.

[0116] The processing unit 16 executes various functional applications and data processing by running the programs stored in the system memory 28, such as implementing the detection method of the failure frequency of the coal mining equipment mentioned in the foregoing embodiments.

[0117] Those skilled in the art will readily conceive of other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common general knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and examples are only illustrative, and the true scope and spirit of the present disclosure are pointed out by the following claims.

[0118] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

[0119] It should be noted that in the description of the present disclosure, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present disclosure, unless otherwise specified, the meaning of "a plurality of" is two or more.

[0120] Any process or method description shown in a flowchart or described in other ways herein can be understood as representing a module, segment, or part of code including one or more executable instructions for implementing a specific logical function or process. The scope of the preferred embodiments of the present disclosure includes additional implementations, where the functions can be executed in a manner not shown or discussed, including in a substantially simultaneous manner according to the functions involved or in a reverse order, which should be understood by those skilled in the technical field of the embodiments of the present disclosure.

[0121] It should be understood that the various parts of the present disclosure can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0122] Those of ordinary skill in the art can understand that all or part of the steps carried by the method of the above embodiments can be completed by instructing relevant hardware through a program. The program can be stored in a computer-readable storage medium, and when the program is executed, it includes one or a combination of the steps of the method embodiments.

[0123] In addition, in each of the embodiments of the present disclosure, the functional units can be integrated into one processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above-mentioned integrated module can be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0124] The above-mentioned storage medium can be a read-only memory, a magnetic disk, an optical disc, etc.

[0125] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0126] Although the embodiments of the present disclosure have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A method for detecting the fault frequency of a coal mining machine device, characterized in that, it includes: Obtain the signal to be detected of the coal mining machine device; Construct a differential oscillator detection model, wherein the differential oscillator detection model is used to detect the frequency of the signal to be detected; Adjust the model parameters of the differential oscillator detection model until the differential oscillator detection model is in the optimal pole-ring state to obtain the reference phase diagram output by the differential oscillator detection model; Input the signal to be detected into the differential oscillator detection model to obtain the phase diagram to be detected output by the differential oscillator detection model; Perform Fourier transform processing on the reference phase diagram and the phase diagram to be detected respectively to obtain the reference phase diagram spectrum corresponding to the reference phase diagram and the phase diagram spectrum to be detected corresponding to the phase diagram to be detected; Determine whether the signal to be detected contains other fault detection frequencies according to the phase diagram spectrum to be detected and the reference phase diagram spectrum; The determining whether the signal to be detected contains other fault detection frequencies according to the phase diagram spectrum to be detected and the reference phase diagram spectrum includes: If the frequency components of the phase diagram spectrum to be detected and the reference phase diagram spectrum are the same, it is determined that the signal to be detected does not contain the other fault detection frequencies; If the frequency components of the phase diagram spectrum to be detected and the reference phase diagram spectrum are different, perform conversion processing on the phase diagram frequencies in the reference phase diagram spectrum to determine that the signal to be detected contains the other fault detection frequencies; The specific conversion process is: Among them, F i is the other fault detection frequency, f i is the phase diagram frequency, f d is the frequency to be detected, f e is the system excitation frequency, and fg is the natural frequency of the differential oscillator detection model.

2. The method according to claim 1, characterized in that, The constructing of the differential oscillator detection model includes: Obtain multiple fault frequencies and reference detection signals of the coal mining machine device; Determine the reference fault detection frequency from the multiple fault frequencies; Construct the differential oscillator detection model according to the signal to be detected, the reference detection signal and the reference fault detection frequency.

3. The method according to claim 2, characterized in that, The reference detection signal has a corresponding reference spectrum amplitude; Wherein, after performing Fourier transform processing on the reference phase diagram and the phase diagram to be detected respectively to obtain the reference phase diagram spectrum corresponding to the reference phase diagram and the phase diagram spectrum to be detected corresponding to the phase diagram to be detected, it further includes: Determine whether the signal to be detected contains the reference fault detection frequency according to the reference spectrum amplitude, the reference phase diagram spectrum and the phase diagram spectrum to be detected.

4. The method according to claim 3, characterized in that, The determining whether the signal to be detected contains the reference fault detection frequency according to the reference spectrum amplitude, the reference phase diagram spectrum and the phase diagram spectrum to be detected includes: Analyze and obtain the spectrum amplitude to be detected of the signal to be detected from the phase diagram spectrum to be detected according to the reference spectrum amplitude and the reference phase diagram spectrum; If the spectrum amplitude to be detected is greater than the reference spectrum amplitude, it is determined that the signal to be detected contains the reference fault detection frequency; If the amplitude of the spectrum to be detected is less than or equal to the amplitude of the reference spectrum, it is determined that the signal to be detected does not contain the reference fault detection frequency.

5. A detection device for the fault frequency of a coal mining machine device, characterized in that, it includes: An acquisition module for acquiring a signal to be detected of the coal mining machine device; A construction module for constructing a differential oscillator detection model, wherein the differential oscillator detection model is used for frequency detection of the signal to be detected; An adjustment module for adjusting the model parameters of the differential oscillator detection model until the differential oscillator detection model is in the best pole-ring state to obtain a reference phase diagram output by the differential oscillator detection model; A first processing module for inputting the signal to be detected into the differential oscillator detection model to obtain a detected phase diagram output by the differential oscillator detection model; A second processing module for respectively performing Fourier transform processing on the reference phase diagram and the detected phase diagram to obtain a reference phase diagram spectrum corresponding to the reference phase diagram and a detected phase diagram spectrum corresponding to the detected phase diagram; A first determination module for determining whether the signal to be detected contains other fault detection frequencies according to the detected phase diagram spectrum and the reference phase diagram spectrum; The determining whether the signal to be detected contains other fault detection frequencies according to the detected phase diagram spectrum and the reference phase diagram spectrum includes: If the frequency components of the detected phase diagram spectrum and the reference phase diagram spectrum are the same, it is determined that the signal to be detected does not contain the other fault detection frequencies; If the frequency components of the detected phase diagram spectrum and the reference phase diagram spectrum are different, the phase diagram frequencies in the reference phase diagram spectrum are subjected to conversion processing to determine that the signal to be detected contains the other fault detection frequencies; The conversion process is specifically: Among them, F i is the other fault detection frequency, f i is the phase diagram frequency, f d is the frequency to be detected, f e is the system excitation frequency, and fg is the natural frequency of the differential oscillator detection model.

6. The device according to claim 5, characterized in that, The construction module is further used for: acquiring multiple fault frequencies and a reference detection signal of the coal mining machine device; determining a reference fault detection frequency from the multiple fault frequencies; constructing the differential oscillator detection model according to the signal to be detected, the reference detection signal and the reference fault detection frequency.

7. The device according to claim 6, characterized in that, The reference detection signal has a corresponding reference spectrum amplitude; wherein, the device further includes: A second determination module for determining whether the signal to be detected contains the reference fault detection frequency according to the reference spectrum amplitude, the reference phase diagram spectrum and the detected phase diagram spectrum after respectively performing Fourier transform processing on the reference phase diagram and the detected phase diagram to obtain a reference phase diagram spectrum corresponding to the reference phase diagram and a detected phase diagram spectrum corresponding to the detected phase diagram.

8. An electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method according to any one of claims 1-4.

9. A non-transitory computer-readable storage medium storing computer instructions, wherein, the computer instructions are for causing the computer to execute the method according to any one of claims 1-4.

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