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Fault Prediction Method Based on Fuzzy Closeness and Particle Filter

A technology of fuzzy closeness and particle filtering, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as failure predictions that have not yet been made

Inactive Publication Date: 2018-04-13
FUJIAN NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

It can be seen that the above fault prediction / diagnosis methods either use particle filter or fuzzy closeness, and there is no method of combining fuzzy closeness and particle filter for fault prediction.

Method used

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  • Fault Prediction Method Based on Fuzzy Closeness and Particle Filter
  • Fault Prediction Method Based on Fuzzy Closeness and Particle Filter
  • Fault Prediction Method Based on Fuzzy Closeness and Particle Filter

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Embodiment Construction

[0031] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0032] Such as figure 1 As shown, a fault prediction method based on fuzzy closeness and particle filter of the present invention includes the following steps,

[0033] S1. Statistical calculation when the system is running normally

[0034] When the system is running normally, the observation sequence {y t}, where t=1,2,3,…m, and calculate its mean ε and standard deviation σ; at the current moment t, use the classical particle filter algorithm to estimate the forecast sequence of the system’s future operation

[0035] S2, normal membership function

[0036] Assuming that k continuous observation data obey the Gaussian distribution, the normal membership function is designed as follows:

[0037]

[0038] Among them, x is the observed variable, and the constant 10 in the denominator can control G(x)>0.5 when the value of x is with...

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Abstract

The invention aims at the characteristics that equipment system often has uncertainty and nonlinearity, and provides a fault predicting method which combines fuzzy nearness and a particle filter algorithm. The method provided by the invention comprises the following steps: describing a fault evolution process of a system by adopting a state-space model, and tracking and predicting the operating state of the system by utilizing the particle filter algorithm; designing a normal fuzzy subset which describes normal operation of the system and an abnormal fuzzy subset which describes abnormal operation of the system by utilizing a membership function; calculating a normal membership set of a predicting sequence solved by the particle filter algorithm; calculating the nearness of the normal membership set and the normal fuzzy subset, and calculating the nearness of the normal membership set and the abnormal fuzzy subset. When a real-time monitoring system is operated, if the nearness of the normal membership set and the abnormal fuzzy subset is greater than that of the normal membership set and the normal fuzzy subset, a fault is predicted; the method can predict the fault early, and is an effect fault predicting method.

Description

technical field [0001] The invention relates to a fault prediction method based on fuzzy close degree and particle filter. Background technique [0002] Early failure prediction of equipment and systems in operation is an important way to take countermeasures in advance and avoid losses caused by failures. The particle filter method provides an effective technique to solve the state estimation problem in continuous signal processing, and its main advantage is applicable to the case where the system is nonlinear or has non-Gaussian noise. For the problem of predicting when equipment will fail, there is often an uncertain relationship between potential failures and failure symptoms, and judging whether there is a failure is fuzzy, so fuzzy mathematics can be used for research. At present, researchers at home and abroad have used particle filter and fuzzy closeness in fuzzy mathematics independently for fault detection and prediction, such as the particle filter method using r...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 王开军陈黎飞林品乐
Owner FUJIAN NORMAL UNIV
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