Online intermittent fault detection and diagnosis method

A fault detection and diagnosis method technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of complex intermittent fault behavior patterns, difficult detection and diagnosis of intermittent faults, etc., and achieves fast calculation speed and modal aliasing. Weakening, end-effect weakening effects

Active Publication Date: 2019-11-26
重庆耐德山花特种车有限责任公司
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Problems solved by technology

Compared with permanent failures, intermittent failures have complex behavior patterns and usually do not appear and disappear in a predictable manner, so intermittent failures are difficult to detect and diagnose

Method used

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  • Online intermittent fault detection and diagnosis method
  • Online intermittent fault detection and diagnosis method

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Experimental program
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specific Embodiment approach

[0019] 1. Collect monitoring signals of the system to be diagnosed under different operating states. The specific implementation is as follows:

[0020] First, make the system to be diagnosed work normally, collect such as vibration signals, voltage signals, current signals, etc. from the test nodes of the system as signals to be detected, and then inject different types of faults into the system, such as applying extreme vibration conditions to Random noise signals are added to the excitation signal of the system, or relays are used to control the on-off of components in the circuit to simulate faults, and permanent fault signals or intermittent fault signals are generated by controlling the fault duration. According to the characteristics of the fault, a sliding time window with a window size of W is used to process the collected signals online, and the multi-segment data obtained by the sliding time window is used as the fault data set.

[0021] 2. Use the wavelet modulus ...

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Abstract

The invention discloses an online intermittent fault detection and diagnosis method. The method comprises the following steps of (1) acquiring a standard fault data set by using a system to be diagnosed; (2) judging whether singular points exist in a signal through a wavelet modulus maximum method, and identifying an intermittent fault signal in the data set; (3) processing the detected intermittent fault signal by using empirical wavelet transform to realize adaptive decomposition of the intermittent fault signal; (4) calculating a Pearson correlation coefficient of an empirical mode component and an original intermittent fault signal and kurtosis of the empirical mode component, and optimizing the selected component to carry out characteristic extraction; (5) quickly matching the intermittent fault signal to be identified with a plurality of characteristic parameters of the reference intermittent fault mode through a gray correlation analysis method, and establishing a dynamically changed intermittent fault mode library; and (6) judging types of the intermittent faults according to the number of times of appearance and time differences of the different intermittent fault modes soas to obtain an online diagnosis result.

Description

technical field [0001] The invention relates to the technical field of on-line intermittent fault detection and diagnosis, in particular to an on-line intermittent fault detection and diagnosis method based on signal singular point detection, empirical wavelet transform and gray correlation degree analysis. Background technique [0002] Intermittent faults are very common in production and life, and pose a huge threat to system performance and equipment safety. According to statistics, intermittent faults in integrated circuits are usually 10-30 times that of permanent faults. Data from the US military equipment and electronics industry show that intermittent failures account for 70%-90% of the total system failures and are the main cause of system failure. As the operating environments of various equipment are becoming more and more diverse, many equipment even work in extremely harsh environments with ultra-high temperature, ultra-low temperature, high radiation, and high...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/28G06K9/62
CPCG01R31/2851G06F18/211
Inventor 屈剑锋钟婷王泽平房晓宇李豪
Owner 重庆耐德山花特种车有限责任公司
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