A signal processing apparatus and method

Abstract

The application discloses a kind of signal processing devices, comprising: sensor, for the original signal received after resonance, generate output signal;Second harmonic processing module, for the output signal is resonated by resonator and output second harmonic signal, to amplify the fault signal of preset frequency band by resonator;The resonant frequency of resonator is less than the resonant frequency of sensor.By second harmonic processing module to the signal that is resonated by sensor is resonated again, amplified and then output, reach the purpose of fault signal enhancement.Signal is realized double resonance, can effectively extract weak mechanical fault information, to realize fault signal enhancement and separation.The application also provides a kind of signal processing method, also has the beneficial effect described above.

Description

Technical Field

[0001] This invention relates to the field of signal processing technology, and in particular to a signal processing apparatus and a signal processing method. Background Technology

[0002] Signal separation and enhancement have always been one of the most critical aspects of signal processing. There are many commonly used methods, such as filtering, chaotic oscillators, wavelet analysis, and random resonance. However, the signal enhancement capabilities of existing methods are limited, especially when the fault signal component is very weak, i.e., when the signal-to-noise ratio is very low.

[0003] Currently, in the field of fault diagnosis, signal enhancement generally employs filtering methods, which retain the signal within the frequency components of interest while filtering out other frequency components. This filtering can be analog or digital. Furthermore, most existing signal enhancement methods involve further amplifying the acquired digital signal. However, in the field of mechanical fault diagnosis, situations frequently arise where weak fault signals need to be effectively extracted. The main reasons are as follows:

[0004] 1) The fault signal itself is very weak, such as in the early stage of the fault. During the operation of the machine, these early faults are still enough to seriously affect the operation of the machine. At this time, the corresponding vibration component in the vibration data is weak.

[0005] 2) The signal transmission path is long and the signal attenuation is large during the transmission process. This is because the measuring point of the vibration sensor needs to be selected in a suitable location where it can be installed. Although in practice, the location closest to the monitoring component is selected as much as possible, due to structural factors, the final measuring point will be a certain distance away from the monitoring component. At this time, when the component fails, the corresponding abnormal vibration signal needs to go through a path to be collected by the sensor. Especially when there are stiffeners or thin-walled structures in this path, the transmission attenuation is large.

[0006] 3) The vibration is large due to normal vibration and background noise, which causes the fault signal to be submerged in the noise signal, making it difficult to distinguish and separate.

[0007] Therefore, conventional signal enhancement methods have very limited effectiveness in enhancing weak signals, and may not even provide any enhancement at all. Existing signal enhancement technologies also have a drawback: in fault diagnosis, especially in rotating machinery, the frequency of faults, i.e., the frequency of fault cycles, is generally low, typically in the range of a few Hz to several hundred Hz. This frequency range easily overlaps with the frequency range of normal signals, such as the rotational frequency of the rotating machinery shaft itself and its higher speed orders. This further increases the difficulty of subsequent signal separation and enhancement. Therefore, how to provide a technical solution for enhancing and separating fault signals is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0008] The purpose of this invention is to provide a signal processing apparatus that can enhance and separate fault signals; this invention also provides a signal processing method that can enhance and separate fault signals.

[0009] To solve the above-mentioned technical problems, the present invention provides a signal processing apparatus, comprising:

[0010] A sensor is used to receive raw signals and generate an output signal after resonance.

[0011] The secondary resonance processing module is used to obtain and output a secondary resonance signal by resonating the output signal through a resonator, so as to amplify the fault signal in a preset frequency range through the resonator; the resonant frequency of the resonator is less than the resonant frequency of the sensor.

[0012] Optionally, the secondary resonance processing module includes:

[0013] An electronic resonator is used to resonate the output signal to obtain a simulated secondary resonant signal;

[0014] An analog-to-digital converter is used to convert the analog secondary resonant signal into a digital signal output.

[0015] Optionally, the secondary resonance processing module further includes an anti-aliasing filter connected between the electronic resonator and the analog-to-digital converter unit; the analog-to-digital converter unit is specifically used for:

[0016] The rotational speed is tracked and sampled based on the rotational speed pulse signal and the secondary resonant signal processed by the anti-aliasing filter; the frequency of the anti-aliasing filter is less than half of the tracking sampling frequency of the analog-to-digital conversion unit.

[0017] Optionally, the resonant frequency of the electronic resonator is less than the resonant frequency of the sensor, the bandwidth of the electronic resonator is 1.5 to 3.5 times the highest frequency of the fault signal, including the endpoint value, the passband ripple of the electronic resonator is no greater than 1 dB, the out-of-band attenuation of the electronic resonator is greater than 30 dB / oct, and the quality factor of the electronic resonator ranges from 3 to 20, including the endpoint value.

[0018] Optionally, the secondary resonance processing module includes:

[0019] An analog-to-digital converter unit is used to convert the output signal into a digital output signal;

[0020] A digital resonator is used to resonate the digital output signal to obtain a secondary resonant signal output.

[0021] Optionally, the sampling frequency of the analog-to-digital conversion unit is greater than twice the resonant frequency of the sensor, the resonant frequency of the digital resonator is less than the resonant frequency of the sensor, the bandwidth of the digital resonator is 1.5 to 3.5 times the highest frequency of the fault signal, including the endpoint values, the passband ripple of the digital resonator is no greater than 1 dB, the out-of-band attenuation of the digital resonator is greater than 30 dB / oct, and the quality factor of the digital resonator ranges from 3 to 20, including the endpoint values.

[0022] Optional, also includes:

[0023] The demodulation module is used to convert the secondary resonant signal from a high-frequency signal to a low-frequency signal.

[0024] Optional, also includes:

[0025] A filter is used to filter the output signal to obtain and output a filtered signal.

[0026] Optional, also includes:

[0027] The first speed tracking module is used to track and sample the secondary resonant signal using the speed signal.

[0028] The second speed tracking module is used to sample the filtered signal using the speed signal.

[0029] The present invention also provides a signal processing method, comprising:

[0030] Acquire the output signal of the sensor; the output signal is the signal after the sensor resonates with the original signal.

[0031] The output signal is resonated by a resonator to obtain and output a secondary resonant signal, so as to amplify the fault signal in a preset frequency range through the resonator; the resonant frequency of the resonator is less than the resonant frequency of the sensor.

[0032] The present invention provides a signal processing device comprising: a sensor for receiving a raw signal and generating an output signal by resonating it; and a secondary resonance processing module for resonating the output signal through a resonator to obtain and output a secondary resonance signal, thereby amplifying a fault signal within a preset frequency band through the resonator; the resonant frequency of the resonator is lower than the resonant frequency of the sensor. By resonating and amplifying the signal resonated by the sensor through the secondary resonance processing module, the fault signal is amplified, achieving the purpose of fault signal enhancement. Achieving dual resonance of the signal can effectively extract weak mechanical fault information, thereby achieving fault signal amplification and separation.

[0033] The present invention also provides a signal processing method, which has the same beneficial effects as described above, and will not be described in detail here. Attached Figure Description

[0034] To more clearly illustrate the technical solutions of the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is a schematic diagram of the structure of a signal processing device provided in an embodiment of the present invention;

[0036] Figure 2 This is a schematic diagram of the structure of a first specific signal processing device provided in an embodiment of the present invention;

[0037] Figure 3 This is a schematic diagram of the structure of a second specific signal processing device provided in an embodiment of the present invention;

[0038] Figure 4 This is a schematic diagram of the structure of a third specific signal processing device provided in an embodiment of the present invention;

[0039] Figure 5 This is a schematic diagram of the structure of a fourth specific signal processing device provided in an embodiment of the present invention;

[0040] Figure 6 This is a schematic diagram of the structure of the fifth specific signal processing device provided in the embodiments of the present invention;

[0041] Figure 7 This is a schematic diagram of the synthesized signal;

[0042] Figure 8 The image shows the existing FFT analysis results;

[0043] Figure 9 This is a diagram of a secondary resonant signal output by a signal processing device provided in an embodiment of the present invention;

[0044] Figure 10 To Figure 9 The demodulated result image;

[0045] Figure 11 To Figure 10 The result of the FFT analysis;

[0046] Figure 12 This is a flowchart of a signal processing method provided in an embodiment of the present invention.

[0047] In the figure: 1. Sensor, 2. Secondary resonance processing module, 20. Analog-to-digital conversion unit, 21. Electronic resonator, 22. Digital resonator, 3. Demodulation module, 4. Filter, 51. First speed tracking module, 52. Second speed tracking module. Detailed Implementation

[0048] The core of this invention is to provide a signal processing device. In existing technologies, the enhancement effect of conventional signal enhancement methods for weak signals is very limited, or even nonexistent. Existing signal enhancement technologies also have a drawback: in fault diagnosis, especially in rotating machinery, the frequency of faults, i.e., the frequency of fault cycles, is generally low, typically in the range of a few Hz to several hundred Hz. This frequency easily overlaps with the frequency range of normal signals, such as the rotational frequency of the rotating machinery shaft itself and its higher speed orders, further increasing the difficulty of subsequent signal separation and enhancement.

[0049] The signal processing device provided by this invention includes: a sensor for receiving a raw signal and generating an output signal by resonating it; and a secondary resonance processing module for resonating the output signal through a resonator to obtain and output a secondary resonance signal, thereby amplifying a fault signal within a preset frequency band through the resonator; the resonant frequency of the resonator is lower than the resonant frequency of the sensor. By resonating and amplifying the signal resonated by the sensor through the secondary resonance processing module, the fault signal is amplified, achieving the purpose of fault signal enhancement. Achieving dual resonance of the signal can effectively extract weak mechanical fault information, thereby enhancing and separating the fault signal.

[0050] To enable those skilled in the art to better understand the present invention, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0051] Please refer to Figures 1 to 6 , Figure 1 This is a schematic diagram of the structure of a signal processing device provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of a first specific signal processing device provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a second specific signal processing device provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of a third specific signal processing device provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of a fourth specific signal processing device provided in an embodiment of the present invention; Figure 6This is a schematic diagram of the structure of a fifth specific signal processing device provided in an embodiment of the present invention.

[0052] See Figure 1 In this embodiment of the invention, the signal processing device includes: a sensor 1, used to receive an original signal and generate an output signal after resonance; a secondary resonance processing module 2, used to obtain and output a secondary resonance signal by resonating the output signal through a resonator, so as to amplify the fault signal in a preset frequency band through the resonator; the resonant frequency of the resonator is less than the resonant frequency of the sensor 1.

[0053] Sensor 1 is a detection device that can sense the measured information and transform it into an electrical signal or other required form of information output according to a certain rule, so as to meet the requirements of information transmission, processing, storage, display, recording and control. Any mechanical system can be equivalent to a second-order system, and sensor 1 is no exception. The resonant frequency of sensor 1 refers to the frequency point in the frequency response function of sensor 1 where the output amplitude is the largest. When the input frequency of sensor 1 is the resonant frequency, its corresponding output amplitude reaches its maximum.

[0054] In this embodiment of the invention, sensor 1 is generally installed on a mechanical surface far from the monitored component, and one sensor 1 typically monitors multiple components simultaneously. When the monitored component operates, especially when the monitored component malfunctions, it generates abnormal vibration signals. These vibration signals usually need to pass through a certain transmission path before they can be sensed and received by sensor 1. It should be noted that the vibration signal sensed by sensor 1 is essentially a signal that has undergone resonance with sensor 1; that is, the signal output by sensor 1 is specifically the signal generated after sensor 1 has undergone one resonance. The specific type of sensor 1 mentioned above needs to be determined according to actual requirements and is not specifically limited here.

[0055] The aforementioned secondary resonance processing module 2 is used to resonate the output signal generated by the aforementioned sensor 1, i.e., to perform secondary resonance, in order to further amplify the fault signal. In this embodiment of the invention, the aforementioned secondary resonance processing module 2 includes a resonator, which is a filter capable of amplifying signals in a specific frequency band. It can be an analog circuit or a digital circuit. The center frequency of the resonator, also known as the resonant frequency, refers to the frequency value at the center of the filter's passband, while the quality factor Q of the resonator is the ratio of the resonant frequency to the bandwidth of the resonator.

[0056] The resonant frequency of the aforementioned resonator needs to be lower than the resonant frequency of sensor 1. In the vibration acquisition of this embodiment, only frequency components below the resonant frequency of sensor 1 are typically acquired. This is mainly because the frequency band below the resonant frequency falls within the linear frequency range of sensor 1, making signal calibration easier. Setting the resonant frequency of the resonator to be lower than the resonant frequency of sensor 1 ensures accurate signal enhancement.

[0057] See Figure 2 Specifically, in this embodiment of the invention, the secondary resonance processing module 2 includes: an electronic resonator 21, used to resonate the output signal to obtain a simulated secondary resonance signal; and an analog-to-digital conversion unit 20, used to convert the simulated secondary resonance signal into a digital signal output. That is, in this embodiment of the invention, the electronic resonator 21 is specifically selected as the resonator in the secondary resonance processing module 2. Specifically, the sensor 1 first sensitively acquires the original vibration signal, and generates an output signal after its own first resonance. The output signal of the sensor 1 is generally a current signal or a voltage signal, which is an analog signal. Then, the sensor 1 transmits the output signal to the electronic resonator 21, which is typically an electronic resonant circuit capable of resonating analog signals. By resonating the output signal again through the electronic resonator 21, a secondary resonance signal belonging to the analog signal is obtained, thereby achieving the enhancement and separation of the fault component signal in the original vibration signal. Finally, the secondary resonant signal is transmitted to the analog-to-digital converter (ADC) unit 20, which is typically an analog-to-digital converter circuit. The ADC unit 20 converts the secondary resonant signal into a digital signal for subsequent application. Generally, to ensure high quality of the secondary resonant signal, the quality factor of the electronic resonator 21 is typically between 3 and 20, including the endpoint values.

[0058] Furthermore, in this embodiment of the invention, the analog-to-digital conversion unit 20 can realize speed tracking sampling. At this time, the secondary resonance processing module 2 further includes an anti-aliasing filter connected between the electronic resonator 21 and the analog-to-digital conversion unit 20. The analog-to-digital conversion unit 20 is specifically used to: perform speed tracking sampling on the secondary resonance signal processed by the anti-aliasing filter according to the speed pulse signal; the frequency of the anti-aliasing filter is less than half of the tracking sampling frequency of the analog-to-digital conversion unit.

[0059] In the AD sampling stage, a rotational speed pulse signal can be used to control the AD acquisition for rotational speed tracking sampling. Specifically, sensor 1 detects the rotating machinery, acquiring the vibration signal generated by it. The rotational speed pulse signal is the signal generated when the machinery rotates, reflecting its rotational speed. In this embodiment, the rotational speed pulse signal can control the sampling of the analog-to-digital converter circuit, thereby achieving rotational speed tracking sampling. Typically, the tracking sampling frequency of the analog-to-digital converter unit 20 needs to be greater than or equal to 200 times the rotational speed frequency of the machinery. This means that at least 200 data points are collected at equal angles for every revolution of the machinery, or at most one data point is collected for every 360 / 200 degrees of rotation.

[0060] Accordingly, a tracking anti-aliasing filter needs to be set between the electronic resonator 21 and the AD conversion circuit that implements speed tracking sampling. The frequency of this tracking anti-aliasing filter is usually less than half of the tracking sampling frequency to avoid signal aliasing. In this embodiment of the invention, the resonant frequency of the electronic resonator 21 is less than the resonant frequency of the sensor 1, the bandwidth of the electronic resonator 21 is 1.5 to 3.5 times the highest frequency of the fault signal, including the endpoint values, the passband ripple of the electronic resonator 21 is no greater than 1 dB, the out-of-band attenuation of the electronic resonator 21 is greater than 30 dB / oct, and the quality factor of the electronic resonator 21 ranges from 3 to 20, including the endpoint values. Through the above settings, the electronic resonator 21 can be guaranteed to have a high quality factor, ensuring the accuracy of the final extracted fault signal. In this embodiment of the invention, the quality factor of the electronic resonator 21 is preferably greater than 5.

[0061] See Figure 3Specifically, in this embodiment of the invention, the secondary resonance processing module 2 includes: an analog-to-digital converter 20, used to convert the output signal into a digital output signal; and a digital resonator 22, used to resonate the digital output signal to obtain a secondary resonance signal output. That is, in this embodiment of the invention, the digital resonator 22 is specifically selected as the resonator in the secondary resonance processing module 2. Specifically, the sensor 1 first sensitively acquires the original vibration signal and obtains the sensor 1 output signal, which is generally a current signal or a voltage signal, belonging to analog signals. Then, the sensor 1 transmits the output signal to the analog-to-digital converter 20, which directly converts the output signal into a digital signal, thereby generating a digital output signal. Then, the converted digital output signal is transmitted to the digital resonator 22, which can resonate the digital signal. By resonating the output signal again through the digital resonator 22, a secondary resonance signal belonging to digital signals can be obtained for output, thereby achieving the enhancement and separation of the fault component signal in the original vibration signal. Typically, the sampling frequency of the analog-to-digital conversion unit 20 needs to be greater than twice the resonant frequency of the sensor 1 to ensure complete acquisition of data including the fault signal. Correspondingly, the resonant frequency of the digital resonator 22 typically needs to be less than the resonant frequency of the sensor 1. The bandwidth of the digital resonator 22 is 1.5 to 3.5 times the highest frequency of the fault signal, including endpoint values. The passband ripple of the digital resonator 22 is no greater than 1 dB, and the out-of-band attenuation is greater than 30 dB / oct. The quality factor of the digital resonator 22 typically ranges from 3 to 20, including endpoint values. These settings ensure that the digital resonator 22 has a high quality factor, guaranteeing the accuracy of the final fault signal extraction. In this embodiment, the quality factor of the digital resonator 22 is preferably greater than 5.

[0062] See Figure 4 Specifically, in this embodiment of the invention, it may further include a demodulation module 3, used to convert the secondary resonant signal from a high-frequency signal to a low-frequency signal. The demodulation module 3 is typically located at the rear end of the secondary resonant processing module 2; that is, the secondary resonant signal generated by the secondary resonant processing module 2 is output to the demodulation module 3 for demodulation. The demodulation module 3 can typically perform demodulation using analog or digital methods, depending on the specific circumstances, and is not specifically limited here. The specific demodulation process of the demodulation module 3 can be absolute value detection or Hilbert transform, depending on the specific circumstances, and is not specifically limited here. The demodulation module 3 can convert the secondary resonant signal, which has undergone secondary resonance, from a high frequency to a low frequency, facilitating subsequent time-domain waveform analysis and corresponding spectrum analysis; that is, the purpose of demodulation is to better facilitate subsequent analysis.

[0063] See Figure 5 Specifically, in this embodiment of the invention, it may further include: a filter 4, used to filter the output signal to obtain and output a filtered signal. That is, in this embodiment of the invention, the signal resonated by sensor 1 may have two transmission channels. The output signal generated by sensor 1 will be transmitted in two paths. One path will undergo secondary resonance processing module 2, and the other path will be filtered by filter 4 to obtain a filtered signal. Filter 4 is usually a low-pass filter, but it can also be a band-pass filter to obtain the final filtered signal. At this time, the secondary resonance signal generated by secondary resonance processing module 2 is mainly used for mechanical fault diagnosis and analysis, especially for fault diagnosis and analysis of bearings and gears; while the filtered signal is mainly used for conventional vibration analysis, especially for vibration analysis of shaft imbalance and misalignment.

[0064] See Figure 6 Specifically, in this embodiment of the invention, it may further include: a first speed tracking module 51, used to perform speed tracking sampling on the secondary resonant signal using the speed signal; and a second speed tracking module 52, used to perform speed tracking sampling on the filtered signal using the speed signal. That is, in the above... Figure 5 In the signal processing device shown, two speed tracking modules can be further provided, with one speed tracking module at the end of each transmission channel. Specifically, a first speed tracking module 51 is provided at the rear end of the second resonant module, which is used to perform speed tracking sampling on the secondary resonant signal using the speed signal; a second speed tracking module 52 is provided at the rear end of the filter 4, which is used to perform speed tracking sampling on the filtered signal using the speed signal.

[0065] The aforementioned rotational speed signal is the signal generated by the monitored rotating machinery during its rotation, reflecting the rotational speed of the machinery. In this embodiment of the invention, the rotational speed signal is used for speed tracking resampling. This transforms the original fixed-time interval sampling method into sampling at equal angles for each revolution of the monitored component, facilitating fault diagnosis of rotating machinery under varying or fluctuating speeds. The specific details of the speed tracking resampling can be set according to actual conditions and are not specifically limited here. Typically, the tracking sampling frequency during speed tracking is no less than 100 times the rotational speed frequency of the machinery, meaning that at least 100 data points are collected at equal angles for each revolution of the monitored component.

[0066] This invention provides a signal processing device comprising: a sensor 1, used to receive an original signal and generate an output signal by resonating it; and a secondary resonance processing module 2, used to resonate the output signal through a resonator to obtain and output a secondary resonance signal, thereby amplifying a fault signal within a preset frequency band; the resonant frequency of the resonator is lower than the resonant frequency of the sensor 1. By resonating and amplifying the signal resonated by the sensor 1 through the secondary resonance processing module 2, the fault signal is amplified, achieving the purpose of fault signal enhancement. By achieving dual resonance of the signal, weak mechanical fault information can be effectively extracted, thereby achieving fault signal amplification and separation.

[0067] The following will illustrate the specific process and implementation effects of this invention with practical examples. Please refer to... Figures 7 to 11 , Figure 7 This is a schematic diagram of the synthesized signal; Figure 8 The image shows the existing FFT analysis results;

[0068] Figure 9 This is a diagram of a secondary resonant signal output by a signal processing device provided in an embodiment of the present invention; Figure 10 To Figure 9 The demodulated result image; Figure 11 To Figure 10 The result of FFT analysis.

[0069] See Figure 7 , Figure 7 The signal represented is a composite signal, which includes four signals. Three sinusoidal vibration signals simulate the vibration components present in the normal operation of mechanical equipment, such as various frequency components, with frequencies of 2000Hz, 1800Hz, and 500Hz, respectively. An impact signal is also used, simulating the vibration signal after a component malfunctions, such as the outer ring of a bearing, with a frequency of 100Hz. When a fault point exists on the outer ring of the bearing, such as a peeling pit, each rolling element passing through will generate a sharp impact signal. In reality, the amplitude of this signal may be much lower than that of normal vibration, but for ease of expression and waveform display, the amplitude of each signal is set to 1 in this embodiment of the invention.

[0070] exist Figure 7 In this context, VF1 is the superposition of three sinusoidal vibration signals and one fault signal, which is equivalent to the signal acquired by sensor 1, i.e., the signal after sensor 1 resonates. In existing technologies, the VF1 signal is typically sampled, stored, and analyzed using an analog-to-digital converter (AD). However, the fault signal component in this signal is masked by the three normal vibrations, making it difficult to extract. For example, at the moment corresponding to the fault signal, the presence of a fault impact signal cannot be distinguished in VF1. Similarly, conventional FFT analysis yields results such as... Figure 8 As shown, the Figure 8 The text indicates the first-order spectral position, higher-order spectral position, 500Hz vibration position, 1800Hz vibration position, and 2000Hz vibration position of the 100Hz fault impact.

[0071] FFT stands for Fast Fourier Transform, a fast algorithm for Fourier Transform. Its main function is to convert a signal in the time domain into the frequency domain, allowing analysis of the frequency components within the current signal. See also... Figure 8 As can be seen from conventional FFT analysis, the spectrum only shows the frequency components of normal vibrations, namely 500Hz, 1800Hz, and 2000Hz, while the fault signal shows virtually no prominent components at 100Hz. This is mainly because the fault signal is an impulse, and its energy is distributed across the entire frequency range, primarily at 100Hz and all higher orders. However, in actual AD sampling, a low-pass filter is usually added. This is mainly to acquire signals within the linear frequency response range of sensor 1. Thus, conventional methods do not acquire signals within the resonant frequency range of sensor 1.

[0072] The VF1 signal is processed by the signal processing device provided in the above embodiments of the present invention, and the resulting secondary resonant signal is as follows: Figure 9 As shown, the VF2 signal is the final output signal after the aforementioned secondary resonance. At this point, it can be clearly seen that the originally set fault vibration signal, i.e., the 100Hz impact signal, exhibits a clear cluster of waveforms at its corresponding moment. Compared to the fault manifestation hidden in VF1, the fault signal is significantly enhanced. If a demodulation module 3 is added, it can specifically demodulate the signal after secondary resonance based on the resonance demodulation mode. The demodulated effect is as follows... Figure 10 As shown in the figure. Therefore, by using some conventional methods, fault diagnosis can be achieved relatively easily. For example, using conventional FFT analysis, the analysis results are as follows. Figure 11 As shown, the Figure 11 The horizontal axis represents frequency (Hz), from Figure 11 The fault frequency component, the 100Hz impact signal, and its harmonics can be clearly seen directly in the image.

[0073] The following describes a signal processing method provided by an embodiment of the present invention. The signal processing method described below can be referred to in correspondence with the signal processing device described above.

[0074] Please refer to Figure 12 , Figure 12 This is a flowchart of a signal processing method provided in an embodiment of the present invention.

[0075] See Figure 12 In an embodiment of the present invention, a signal processing method includes:

[0076] S101: Acquire the output signal of the sensor.

[0077] In this embodiment of the invention, the output signal is the signal after the sensor 1 resonates with the original signal.

[0078] S102: The output signal is resonated by a resonator to obtain and output a secondary resonant signal, so as to amplify the fault signal in the preset frequency range through the resonator.

[0079] In this embodiment of the invention, the resonant frequency of the resonator is less than the resonant frequency of the sensor 1.

[0080] The specific details of S101 and S102 have been described in detail in the above embodiments of the invention, and will not be repeated here.

[0081] Preferably, in this embodiment of the invention, S102 specifically includes:

[0082] The output signal is resonated to obtain a simulated second-order resonant signal.

[0083] The simulated secondary resonant signal is equivalent to a digital signal output.

[0084] Preferably, in this embodiment of the invention, the secondary resonance processing module further includes an anti-aliasing filter connected between the electronic resonator and the analog-to-digital conversion unit; S102 specifically includes:

[0085] The rotational speed is tracked and sampled based on the rotational speed pulse signal and the secondary resonant signal processed by the anti-aliasing filter; the frequency of the anti-aliasing filter is less than half of the tracking sampling frequency of the analog-to-digital conversion unit.

[0086] Preferably, in this embodiment of the invention, the resonant frequency of the electronic resonator is less than the resonant frequency of the sensor, the bandwidth of the electronic resonator is 1.5 to 3.5 times the highest frequency of the fault signal, including the endpoint value; the passband ripple of the electronic resonator is no greater than 1 dB, the out-of-band attenuation of the electronic resonator is greater than 30 dB / oct, and the quality factor of the electronic resonator ranges from 3 to 20, including the endpoint value.

[0087] Preferably, in this embodiment of the invention, S102 specifically includes:

[0088] The output signal is converted into a digital output signal.

[0089] The digital output signal is resonated to obtain a secondary resonant signal output.

[0090] Preferably, in this embodiment of the invention, the sampling frequency of the analog-to-digital conversion unit is greater than twice the resonant frequency of the sensor, the resonant frequency of the digital resonator is less than the resonant frequency of the sensor, the bandwidth of the digital resonator is 1.5 to 3.5 times the highest frequency of the fault signal, including the endpoint value; the passband ripple of the digital resonator is no greater than 1 dB, the out-of-band attenuation of the digital resonator is greater than 30 dB / oct, and the quality factor of the digital resonator ranges from 3 to 20, including the endpoint value.

[0091] Preferably, in this embodiment of the invention, it further includes:

[0092] S103: Convert the secondary resonant signal from a high-frequency signal to a low-frequency signal.

[0093] Preferably, in this embodiment of the invention, it further includes:

[0094] S104: Filter the output signal to obtain and output the filtered signal.

[0095] Preferably, in this embodiment of the invention, it further includes:

[0096] S105: Use the rotational speed signal to perform rotational speed tracking sampling on the secondary resonant signal.

[0097] S106: Use the rotational speed signal to perform rotational speed tracking sampling on the filtered signal.

[0098] The signal processing method of this embodiment is applied to the aforementioned signal processing apparatus. Therefore, the specific implementation of the signal processing method can be found in the embodiment section of the signal processing apparatus above. Thus, the specific implementation can be referred to the description of the corresponding embodiments, which will not be repeated here.

[0099] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0100] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0101] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0102] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements resonating with such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0103] The signal processing apparatus and signal processing method provided by the present invention have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the embodiments above are only for the purpose of helping to understand the method and core ideas of the present invention. It should be noted that those skilled in the art can make several improvements and modifications to the present invention without departing from the principles of the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

Claims

1. A signal processing apparatus, characterized in that, include: A sensor is used to receive raw signals and generate an output signal after resonance. The secondary resonance processing module is used to obtain and output a secondary resonance signal by resonating the output signal through a resonator, so as to amplify the fault signal in a preset frequency range through the resonator. The resonant frequency of the resonator is lower than the resonant frequency of the sensor; Also includes: A filter is used to filter the output signal to obtain and output a filtered signal; Also includes: The first speed tracking module is used to track and sample the secondary resonant signal using the speed signal. The second speed tracking module is used to perform speed tracking sampling on the filtered signal using the speed signal; The secondary resonance signal generated by the secondary resonance processing module is used for mechanical fault diagnosis and analysis, including fault diagnosis and analysis of bearing and gear faults; the filtered signal is used for conventional vibration analysis, including vibration analysis of shaft imbalance and misalignment.

2. The apparatus according to claim 1, characterized in that, The secondary resonance processing module includes: An electronic resonator is used to resonate the output signal to obtain a simulated secondary resonant signal; An analog-to-digital converter is used to convert the analog secondary resonant signal into a digital signal output.

3. The apparatus according to claim 2, characterized in that, The secondary resonance processing module also includes an anti-aliasing filter connected between the electronic resonator and the analog-to-digital conversion unit; The analog-to-digital conversion unit is specifically used for: The rotational speed is tracked and sampled based on the rotational speed pulse signal and the secondary resonant signal processed by the anti-aliasing filter; the frequency of the anti-aliasing filter is less than half of the tracking sampling frequency of the analog-to-digital conversion unit.

4. The apparatus according to claim 3, characterized in that, The resonant frequency of the electronic resonator is less than that of the sensor, and the bandwidth of the electronic resonator is 1.5 to 3.5 times the highest frequency of the fault signal, including the endpoint value; the passband ripple of the electronic resonator is no greater than 1 dB, the out-of-band attenuation of the electronic resonator is greater than 30 dB / oct, and the quality factor of the electronic resonator ranges from 3 to 20, including the endpoint value.

5. The apparatus according to claim 1, characterized in that, The secondary resonance processing module includes: An analog-to-digital converter unit is used to convert the output signal into a digital output signal; A digital resonator is used to resonate the digital output signal to obtain a secondary resonant signal output.

6. The apparatus according to claim 5, characterized in that, The sampling frequency of the analog-to-digital conversion unit is greater than twice the resonant frequency of the sensor, the resonant frequency of the digital resonator is less than the resonant frequency of the sensor, the bandwidth of the digital resonator is 1.5 to 3.5 times the highest frequency of the fault signal, including the endpoint values; the passband ripple of the digital resonator is no greater than 1 dB, the out-of-band attenuation of the digital resonator is greater than 30 dB / oct, and the quality factor of the digital resonator ranges from 3 to 20, including the endpoint values.

7. The apparatus according to claim 1, characterized in that, Also includes: The demodulation module is used to convert the secondary resonant signal from a high-frequency signal to a low-frequency signal.

8. A signal processing method, characterized in that, include: Acquire the output signal of the sensor; the output signal is the signal after the sensor resonates with the original signal. The output signal is resonated by a resonator to obtain and output a secondary resonant signal, so as to amplify the fault signal in a preset frequency range through the resonator. The resonant frequency of the resonator is lower than that of the sensor; it also includes: a filter for filtering the output signal to obtain and output a filtered signal; it also includes: a first speed tracking module for using the speed signal to perform speed tracking sampling on the secondary resonant signal; a second speed tracking module for using the speed signal to perform speed tracking sampling on the filtered signal; the secondary resonant signal generated by the secondary resonant processing module is used for mechanical fault diagnosis and analysis, including fault diagnosis and analysis for bearing and gear faults; the filtered signal is used for conventional vibration analysis, including vibration analysis for shaft imbalance and misalignment.

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