A state early warning method and system for hydropower station equipment

Abstract

The present invention discloses a state early warning method and system for hydropower station equipment in the field of hydropower station equipment. The method comprises the following steps: obtaining a multivariate monitoring signal of the hydropower station equipment and extracting characteristic information of the multivariate monitoring signal; obtaining pre-stored fault symptom information of the hydropower station equipment from a global database, comparing and analyzing the fault symptom information of the hydropower station equipment with characteristic information, and obtaining a state change trend of the hydropower station equipment; obtaining a fault probability of the hydropower station equipment corresponding to the state change trend from a knowledge base, and if the fault probability of the hydropower station equipment is greater than a threshold, storing the characteristic information as symptom information in the global database, and giving an early warning of the fault of the hydropower station equipment; and analyzing the change trend of the operating equipment according to the real-time operation status of the equipment and based on corresponding rules in an online knowledge base, giving an early warning of possible faults of the hydropower station equipment.

Description

Technical Field

[0001] The invention belongs to the technical field of hydropower station equipment, and in particular relates to a status early warning method and system for hydropower station equipment. Background Art

[0002] With the continuous advancement of science and technology and the continuous development of human civilization, people on the earth are pursuing a more convenient life while also paying attention to the quality of the surrounding living environment. In addition, as people's environmental awareness continues to increase, the utilization rate of burning energy that pollutes the environment (coal, oil, etc.) is also constantly decreasing. After reducing the use of traditional energy, people have gradually developed technologies for generating electricity using clean energy such as wind energy, hydropower and solar energy. In the conversion of water energy, hydropower stations are needed. Through the cooperation of many machines and equipment in hydropower stations, the potential energy of water flow can be converted into electrical energy.

[0003] In order to ensure people's normal daily electricity consumption, it is necessary to keep the hydropower station in normal working condition. However, many machines and equipment in the hydropower station will always have problems during operation. In order to quickly solve the problems of the equipment in the hydropower station, people have designed a system for real-time monitoring of the operation of the hydropower station's working equipment. Under the monitoring of this system, it can help staff to find and solve problems with the hydropower station equipment in time, thereby shortening the impact of equipment failure on the normal operation of the hydropower station.

[0004] However, the real-time monitoring system in the prior art can only send out a signal when a problem occurs, but cannot predict possible failures or the most likely failures. Although it can remind the staff to repair the equipment with problems in time, the equipment with problems cannot work normally during the process of the staff receiving the signal and the staff repairing it, which will make the entire power station unable to operate normally during this period of time, and thus cannot provide power to people normally. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for early warning of the status of hydropower station equipment, which can calculate and analyze the status trend of hydropower station equipment and provide early warning of possible faults of hydropower station equipment.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is:

[0007] In a first aspect, the present invention provides a method for early warning of a status of a hydropower station equipment, characterized in that it comprises:

[0008] Obtain multivariate monitoring signals of hydropower station equipment and extract characteristic information of multivariate monitoring signals;

[0009] Obtain pre-stored hydropower station equipment fault symptom information from the global database, compare and analyze the hydropower station equipment fault symptom information with the characteristic information, and obtain the status change trend of the hydropower station equipment;

[0010] The failure probability of the hydropower station equipment corresponding to the state change trend is obtained from the knowledge base. If the failure probability of the hydropower station equipment is greater than the threshold, the characteristic information is stored in the global database as symptom information to warn of the failure of the hydropower station equipment.

[0011] Preferably, the early warning process of the rotor mass imbalance fault includes:

[0012] like , and , then an early warning of rotor mass imbalance fault is output;

[0013] In the formula, the rotational frequency vibration signal 1X represents the rotational frequency vibration signal of the upper frame radial direction at each speed during the startup and shutdown process of the hydropower station equipment; Indicates the component amplitude of the rotation frequency vibration signal 1X; Represents the spatial phase of the component of the rotation frequency vibration signal 1X; Indicates the speed-related power of the rotational frequency vibration signal 1X; It is the lower limit threshold of the swing of the rotor mass imbalance fault under the rotation frequency vibration signal 1X; The speed-related power lower limit threshold of the rotor mass imbalance fault under the speed-frequency vibration signal 1X; is the speed-related power upper limit threshold of the rotor mass imbalance fault under the speed-frequency vibration signal 1X; It is the threshold value of the change in the spatial phase of the component of the rotor mass imbalance fault under the rotation frequency vibration signal 1X.

[0014] Preferably, the early warning process of the rotor off-center fault includes:

[0015] If the radial rotation frequency vibration signal 1X and the rotation frequency vibration signal 2X of the upper frame of the hydropower station equipment are detected; and the vibration frequency of the rotation frequency vibration signal 2X is greater than the rotation frequency vibration signal 1X, generating high-order harmonic vibration, then an early warning of rotor deviation from the center fault is output;

[0016] If the radial rotation frequency vibration signal 1X, rotation frequency vibration signal 2X and rotation frequency vibration signal 3X of the upper frame of the hydropower station equipment are detected, and the vibration frequency of the rotation frequency vibration signal 2X or the vibration frequency of the rotation frequency vibration signal 3X exceeds 30% of the rotation frequency vibration signal 1X, an early warning of a rotor deviation from center fault is output.

[0017] Preferably, the early warning process of the rotor bending fault includes:

[0018] like , then the warning of rotor bending fault and the direction of bending are output ;

[0019] In the formula, Indicates the straightness of the rotor axis of the hydropower station equipment; is the minimum straightness threshold of the axis line for axis bending fault; Indicates the location of the rotor bending fault; among them, the straightness of the rotor axis of the hydropower station equipment is calculated through the signals of the upper guide swing, lower guide or thrust swing, and water guide swing of the hydropower station equipment and the direction of the bend .

[0020] Preferably, the early warning process of the friction failure of the moving and stationary parts includes:

[0021] like , it is judged as the moment when the friction signal occurs; is the nonlinear kurtosis of the friction vibration information, Q is the nonlinear kurtosis threshold; the absolute correlation between the friction signal and the natural vibration signal is calculated, and the impact of the friction signal on the natural vibration signal is output; the water guide swing and top cover vibration signals are envelope demodulated and transformed to obtain the amplitude of the main signal of the envelope spectrum , impulse envelope main frequency and impact space phase ;

[0022] like ,and or , then the output friction impact spatial phase And weak collision and wear fault warning; is the minimum amplitude of the impact envelope of the friction fault, is the basic frequency of the impact envelope of the friction fault, It is the basic frequency of the impact envelope of the friction fault.

[0023] Optimally, the early warning process of bearing lubrication failure is as follows:

[0024] If the amplitude of the rotation frequency and harmonics in the bearing vibration velocity spectrum is greater than the amplitude threshold, a fault warning of excessive bearing clearance is output;

[0025] If the radial vibration of the bearing is detected and the radial vibration frequency is less than 1 / 2 of the bearing rotation frequency, a fault warning of the bearing oil film vortex and oil film oscillation will be output.

[0026] Preferably, the early warning process of bearing component damage failure is as follows:

[0027] If it is monitored that the bearing produces periodic impacts, causing periodic vibration pulses in the bearing and the machine, and the action time of the periodic vibration pulses is less than the time threshold, a fault warning of pitting of the bearing inner ring, outer ring or roller will be output.

[0028] Preferably, the early warning process of electrical equipment damage failure:

[0029] If it is detected that the voltage of some phases of the electrical equipment relative to the ground is reduced, and the voltage of some phases relative to the ground is unchanged, an electrical equipment phase failure warning is output;

[0030] like or or , then the electrical equipment air gap uneven fault warning is output;

[0031] The out-of-roundness of the rotor of the hydropower station equipment; The stator and rotor of the hydropower station equipment are relatively eccentric; Stator out of roundness for hydropower station equipment; is the minimum threshold of rotor out-of-roundness, is the minimum threshold of relative eccentricity between stator and rotor; is the minimum threshold of stator out-of-roundness.

[0032] In a second aspect, the present invention provides a status warning system for hydropower station equipment, comprising:

[0033] The acquisition module obtains the multivariate monitoring signals of the hydropower station equipment and extracts the characteristic information of the multivariate monitoring signals;

[0034] The information extraction module obtains the probability of each failure of the hydropower station equipment from the knowledge base; according to the state change trend of the hydropower station equipment, it obtains the pre-stored hydropower station equipment failure sign information from the global database;

[0035] The comparison and analysis module compares and analyzes the fault symptom information and characteristic information of the hydropower station equipment to obtain the status change trend of the hydropower station equipment;

[0036] Early warning module: if the probability of failure of hydropower station equipment is greater than the threshold, early warning of the failure of hydropower station equipment is issued;

[0037] The storage module stores the characteristic information as symptom information in the global database.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] The present invention obtains multivariate monitoring signals of hydropower station equipment and extracts characteristic information of the multivariate monitoring signals; obtains pre-stored fault symptom information of hydropower station equipment from a global database, compares and analyzes the symptom information with the characteristic information, and obtains the state change trend of the hydropower station equipment; obtains the probability of each fault occurring in the hydropower station equipment from a knowledge base according to the state change trend of the hydropower station equipment, and when the probability of the fault occurring is greater than a threshold, warns of the fault of the hydropower station equipment; analyzes the change trend of the operating equipment according to the real-time operation status of the equipment and based on the corresponding rules in the online knowledge base, and warns of possible faults of the hydropower station equipment in advance. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A structural diagram of a status early warning system for hydropower station equipment provided by the present invention;

[0041] Figure 2 A flow chart of a status early warning method for hydropower station equipment provided by the present invention.

[0042] In the figure: 1 computer, 2 user interface, 3 interpretation machine, 4 knowledge acquisition machine, 5 reasoning machine, 6 expert knowledge base, 7 global database. DETAILED DESCRIPTION

[0043] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

[0044] Embodiment 1

[0045] like Figure 2 As shown, a method for early warning of the status of hydropower station equipment includes:

[0046] Obtain multivariate monitoring signals of hydropower station equipment and extract characteristic information of multivariate monitoring signals;

[0047] Obtain pre-stored hydropower station equipment fault symptom information from the global database, compare and analyze the hydropower station equipment fault symptom information with the characteristic information, and obtain the status change trend of the hydropower station equipment;

[0048] The failure probability of the hydropower station equipment corresponding to the state change trend is obtained from the knowledge base. If the failure probability of the hydropower station equipment is greater than the threshold, the characteristic information is stored in the global database as symptom information to warn of the failure of the hydropower station equipment.

[0049] The fault types warned by hydropower station equipment include: rotor mass imbalance fault, rotor decentering fault, rotor bending fault, moving and static parts friction fault, bearing lubrication fault, bearing component damage and electrical equipment damage fault.

[0050] The early warning process for rotor mass imbalance failure includes:

[0051] At each speed during the startup and shutdown process of the hydropower station equipment, obtain the radial rotation frequency vibration signal 1X of the upper frame of the hydropower station equipment, and calculate the component amplitude of the rotation frequency vibration signal 1X , component spatial phase Power related to speed ;

[0052] The judgment conditions for the rotor mass imbalance fault are:

[0053]

[0054]

[0055] ,

[0056] In the formula, It is the lower limit threshold of the swing of the rotor mass imbalance fault under the rotation frequency vibration signal 1X; The speed-related power lower limit threshold of the rotor mass imbalance fault under the speed-frequency vibration signal 1X; is the speed-related power upper limit threshold of the rotor mass imbalance fault under the speed-frequency vibration signal 1X; is the change threshold of the component spatial phase of the rotor mass imbalance fault under the rotation frequency vibration signal 1X;

[0057] If the judgment condition that the rotor mass imbalance fault is established is met, an early warning of the rotor mass imbalance fault is output.

[0058] The early warning process for rotor off-center faults includes:

[0059] If the radial rotation frequency vibration signal 1X and the rotation frequency vibration signal 2X of the upper frame of the hydropower station equipment are detected;

[0060] If the vibration frequency of the rotation frequency vibration signal 2X is greater than that of the rotation frequency vibration signal 1X, and high-order harmonic vibration is generated, an early warning of a rotor deviation from the center fault is output;

[0061] If the radial rotation frequency vibration signal 1X, rotation frequency vibration signal 2X and rotation frequency vibration signal 3X of the upper frame of the hydropower station equipment are detected; and the vibration frequency of the rotation frequency vibration signal 2X or the vibration frequency of the rotation frequency vibration signal 3X exceeds 30% of the rotation frequency vibration signal 1X, an early warning of a rotor deviation from center failure is output.

[0062] The early warning process for rotor bending failure includes:

[0063] At various speeds during the startup and shutdown of the hydropower station equipment, the signals of the upper guide swing, lower guide or thrust swing, and water guide swing of the hydropower station equipment are obtained, and the straightness of the rotor axis is calculated. and the direction of the bend ,like , The minimum straightness threshold of the axis line for the axis bending fault is output as the warning of the rotor bending fault and the direction of the bending. .

[0064] The early warning process for friction failure of moving and static parts includes:

[0065] Through narrowband filtering, Hilbert transform, and fast Fourier transform FFT, the envelope demodulation and transformation of the water guide swing and top cover vibration signals are performed to obtain the amplitude of the main signal of the impact envelope spectrum , impulse envelope main frequency and impact space phase ,like ,and or ; is the minimum amplitude of the impact envelope of the friction fault, is the basic frequency of the impact envelope of the friction fault, is the basic frequency of the impact envelope of the friction fault; then the output is the spatial phase of the weak friction fault and the friction impact ;

[0066] Nonlinear kurtosis for obtaining friction vibration information ; When , Q is the nonlinear kurtosis threshold, it is judged as the moment when the friction signal occurs, the absolute correlation between the friction signal and the natural vibration signal is calculated, and the impact degree of the friction signal on the natural vibration signal is output.

[0067] Early warning process for bearing lubrication failure:

[0068] If the amplitude of the rotation frequency and harmonics in the bearing vibration velocity spectrum is greater than the amplitude threshold, a fault warning of excessive bearing clearance will be output; poor lubrication may cause oil film vortex and oil film oscillation. If the bearing radial vibration is monitored and the radial vibration frequency is less than 1 / 2 of the bearing rotation frequency, a fault warning of bearing oil film vortex and oil film oscillation will be output;

[0069] Early warning process for bearing component damage failure: If the monitoring detects that the bearing generates periodic impact, causing periodic vibration pulses of the bearing and the machine, and the action time of the periodic vibration pulse is less than the time threshold, an early warning of pitting of the inner ring, outer ring or roller of the bearing is output;

[0070] Inner raceway defect characteristic frequency :

[0071] Outer raceway defect characteristic frequency : ,

[0072] Ball defect characteristic frequency : ,

[0073] Characteristic frequency of cage hitting outer ring : ,

[0074] Characteristic frequency of cage hitting inner ring : ;

[0075] In the formula, is the rolling element diameter; is the pitch diameter; is the bearing pressure angle; is the rotation frequency of the shaft; is the number of rolling elements.

[0076] Early warning process for electrical equipment damage and failure:

[0077] If it is detected that the voltage of some phases of the electrical equipment relative to the ground is reduced, and the voltage of some phases relative to the ground is unchanged, an electrical equipment phase failure warning is output;

[0078] Based on wavelet analysis, adaptive filtering and continuous refinement Fourier transform, the broken rotor bar is detected. Wavelet analysis is used to locate the load fluctuation, and the stator current sampling signal in the load stable time period is extracted. Adaptive filtering and continuous refinement Fourier transform are then performed to accurately determine whether the broken rotor bar fault exists and avoid the influence of load fluctuation.

[0079] The out-of-roundness of the rotor is calculated based on the air gap signal of the hydropower station equipment at various speeds during the startup and shutdown process of the hydropower station equipment. , relative eccentricity of stator and rotor , stator out of roundness ,like or or When , the electrical equipment air gap uneven fault warning is output; is the minimum threshold of rotor out-of-roundness, is the minimum threshold of relative eccentricity between stator and rotor, is the minimum threshold of stator out-of-roundness.

[0080] Embodiment 2

[0081] like Figure 1As shown, a status warning system for hydropower station equipment, this system can be applied to the warning method described in Example 1, including a collection module, an information extraction module, a comparison and analysis module, a warning module and a storage module;

[0082] The acquisition module includes a knowledge acquisition machine 4, a computer 1 and a connected detection device; the computer 1 is connected to the knowledge acquisition machine 4; the detection device connected to the computer 1 acquires the multivariate monitoring signal of the hydropower station equipment, and extracts the characteristic information of the multivariate monitoring signal through the knowledge acquisition machine 4;

[0083] The knowledge acquisition machine 4 is electrically connected to the inference machine 5, and transmits the characteristic information of the monitoring signal to the inference machine 5; the information extraction module and the comparison and analysis module are arranged in the inference machine 5; the probability of each failure of the hydropower station equipment is obtained from the knowledge base 6 through the information extraction module; the hydropower station equipment failure symptom information and the characteristic information are compared and analyzed by the comparison and analysis module to obtain the state change trend of the hydropower station equipment; the information extraction module obtains the pre-stored hydropower station equipment failure symptom information from the global database 7 according to the state change trend of the hydropower station equipment; the inference machine 5 judges whether the failure probability of the hydropower station equipment is greater than the threshold, and generates a decision and evaluation; the decision and evaluation generated by the inference machine 5 are transmitted to the computer 1 through the interpretation machine 3; the interpretation machine 3 is used to generate explanation information for the evaluation and decision of the inference machine, and transmit the evaluation, decision and explanation information to the early warning module;

[0084] If the probability of failure of the hydropower station equipment is greater than a threshold, an early warning module is used to warn of the failure of the hydropower station equipment; the early warning module includes a user interaction interface 2; an early warning of the failure of the hydropower station equipment is given through the user interaction interface 2; the user interaction interface 2 is arranged on the computer 1; the system can display the results to the staff through the user interaction interface 2, and the staff can also operate by operating the user interface 2; the storage module stores the characteristic information as symptom information in the global database, and realizes real-time updating of the global database to improve the accuracy of detection.

[0085] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0086] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0087] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0088] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0089] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for early warning of the status of hydropower station equipment, characterized in that: include: Obtain multivariate monitoring signals of hydropower station equipment and extract characteristic information of multivariate monitoring signals; Obtain pre-stored hydropower station equipment failure symptom information from the global database, compare and analyze the hydropower station equipment failure symptom information with the characteristic information, and determine whether to issue an early warning for the hydropower station equipment failure; The early warning process for rotor mass imbalance failure includes: like , and , then an early warning of rotor mass imbalance fault is output; In the formula, the rotational frequency vibration signal 1X represents the rotational frequency vibration signal of the upper frame radial direction at each speed during the startup and shutdown process of the hydropower station equipment; Indicates the component amplitude of the rotation frequency vibration signal 1X; Represents the spatial phase of the component of the rotation frequency vibration signal 1X; Indicates the speed-related power of the rotational frequency vibration signal 1X; It is the lower limit threshold of the swing of the rotor mass imbalance fault under the rotation frequency vibration signal 1X; The speed-related power lower limit threshold of the rotor mass imbalance fault under the speed-frequency vibration signal 1X; is the speed-related power upper limit threshold of the rotor mass imbalance fault under the speed-frequency vibration signal 1X; is the change threshold of the component spatial phase of the rotor mass imbalance fault under the rotation frequency vibration signal 1X; The early warning process for rotor off-center faults includes: If the radial rotation frequency vibration signal 1X and the rotation frequency vibration signal 2X of the upper frame of the hydropower station equipment are detected; and the vibration of the rotation frequency vibration signal 2X is greater than the rotation frequency vibration signal 1X, generating high-order harmonic vibration, then an early warning of rotor deviation from the center fault is output; If the radial rotation frequency vibration signal 1X, rotation frequency vibration signal 2X and rotation frequency vibration signal 3X of the upper frame of the hydropower station equipment are detected, and the vibration of the rotation frequency vibration signal 2X or the vibration of the rotation frequency vibration signal 3X exceeds 30% of the rotation frequency vibration signal 1X, an early warning of a rotor deviation from center failure is output.

2. A method for early warning of the status of hydropower station equipment according to claim 1, characterized in that: The early warning process for rotor bending failure includes: like , then the warning of the rotor bending fault and the location of the rotor bending fault are output; In the formula, Indicates the straightness of the rotor axis of the hydropower station equipment; is the minimum straightness threshold of the axis for axis bending fault; wherein, the straightness of the rotor axis of the hydropower station equipment is calculated through the signals of the upper guide swing, lower guide or thrust swing, and water guide swing of the hydropower station equipment. and the position of the rotor bending fault; the position of the rotor bending fault is the spatial phase of the component of the rotation frequency vibration signal 1X .

3. A method for early warning of the status of a hydropower station equipment according to claim 1, characterized in that: The early warning process for friction failure of moving and static parts includes: like , it is judged as the moment when the friction signal occurs; is the nonlinear kurtosis of the friction vibration information, Q is the nonlinear kurtosis threshold; the absolute correlation between the friction signal and the natural vibration signal is calculated, and the impact of the friction signal on the natural vibration signal is output; the water guide swing and top cover vibration signals are envelope demodulated and transformed to obtain the amplitude of the main signal of the envelope spectrum , impulse envelope main frequency and impact space phase ; like ,and or , then the output friction impact spatial phase And weak collision and wear fault warning; is the minimum amplitude of the impact envelope of the friction fault, is the basic frequency of the impact envelope of the friction fault in the frequency conversion vibration signal 1X, It is the basic frequency of the impact envelope of the rotation frequency vibration signal 2X friction fault.

4. A method for early warning of the status of hydropower station equipment according to claim 1, characterized in that: Early warning process for bearing lubrication failure: If the amplitude of the rotation frequency and harmonics in the bearing vibration velocity spectrum is greater than the amplitude threshold, a fault warning of excessive bearing clearance is output; If the radial vibration of the bearing is detected and the radial vibration frequency is less than 1 / 2 of the bearing rotation frequency, a fault warning of the bearing oil film vortex and oil film oscillation will be output.

5. A method for early warning of the status of hydropower station equipment according to claim 1, characterized in that: Early warning process for bearing component damage failure: If it is monitored that the bearing produces periodic impacts, causing periodic vibration pulses in the bearing and the machine, and the action time of the periodic vibration pulses is less than the time threshold, a fault warning of pitting of the bearing inner ring, outer ring or roller will be output.

6. A method for early warning of the status of hydropower station equipment according to claim 1, characterized in that: Early warning process for electrical equipment damage and failure: If it is detected that the voltage of some phases of the electrical equipment relative to the ground is reduced, and the voltage of some phases relative to the ground is unchanged, an electrical equipment phase failure warning is output; like or or , then the electrical equipment air gap uneven fault warning is output; The out-of-roundness of the rotor of the hydropower station equipment; The stator and rotor of the hydropower station equipment are relatively eccentric; Stator out of roundness for hydropower station equipment; is the minimum threshold of rotor out-of-roundness, is the minimum threshold of relative eccentricity between stator and rotor; is the minimum threshold of stator out-of-roundness.

7. A status warning system for hydropower station equipment, characterized in that: include: The acquisition module obtains the multivariate monitoring signals of the hydropower station equipment and extracts the characteristic information of the multivariate monitoring signals; The information extraction module obtains the probability of each failure of the hydropower station equipment from the knowledge base; according to the state change trend of the hydropower station equipment, it obtains the pre-stored hydropower station equipment failure sign information from the global database; The comparison and analysis module compares and analyzes the fault symptom information of the hydropower station equipment with the characteristic information to determine and issue early warnings for the faults of the hydropower station equipment; The early warning process of the rotor mass imbalance fault by the comparative analysis module includes: like , and , then an early warning of rotor mass imbalance fault is output; In the formula, the rotational frequency vibration signal 1X represents the rotational frequency vibration signal of the upper frame radial direction at each speed during the startup and shutdown process of the hydropower station equipment; Indicates the component amplitude of the rotation frequency vibration signal 1X; Represents the spatial phase of the component of the rotation frequency vibration signal 1X; Indicates the speed-related power of the rotational frequency vibration signal 1X; It is the lower limit threshold of the swing of the rotor mass imbalance fault under the rotation frequency vibration signal 1X; The speed-related power lower limit threshold of the rotor mass imbalance fault under the speed-frequency vibration signal 1X; is the speed-related power upper limit threshold of the rotor mass imbalance fault under the speed-frequency vibration signal 1X; is the change threshold of the component spatial phase of the rotor mass imbalance fault under the rotation frequency vibration signal 1X; The early warning process of the rotor off-center fault by the comparative analysis module includes: If the radial rotation frequency vibration signal 1X and the rotation frequency vibration signal 2X of the upper frame of the hydropower station equipment are detected; and the vibration of the rotation frequency vibration signal 2X is greater than the rotation frequency vibration signal 1X, generating high-order harmonic vibration, then an early warning of rotor deviation from the center fault is output; If the radial rotation frequency vibration signal 1X, rotation frequency vibration signal 2X and rotation frequency vibration signal 3X of the upper frame of the hydropower station equipment are detected, and the vibration of the rotation frequency vibration signal 2X or the vibration of the rotation frequency vibration signal 3X exceeds 30% of the rotation frequency vibration signal 1X, an early warning of a rotor deviation from center failure is output.

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