Residual life prediction method of electromechanical system based on two-time-scale particle filter

Abstract

The invention discloses a residual life prediction method of an electromechanical system based on a dual-time scale particle filter, which comprises the following steps of: a continuous system state space equation is discretized by adopting an Euler discretization method to obtain a discrete system state space equation under the dual-time scale; The state and fault parameters of the system are estimated by using the dual-time-scale particle filter algorithm, and the fault source is identified by the estimated value of the fault parameters; A degradation model of system parameters is predicted,and the residual life of the system is calculated by using the estimated value of the fault parameters and the fault failure threshold. The invention solves the problem that a large amount of computational resources are wasted during the joint estimation of the system state and the fault parameters in the time period when the fault parameters are basically unchanged, improves the efficiency of the fault diagnosis, and guarantees the real-time performance of the residual life prediction.

Description

technical field [0001] The invention relates to the field of predicting the remaining life of equipment, in particular to a method for predicting the remaining life of an electromechanical system based on dual-time scale particle filtering. Background technique [0002] With the rapid development of science and technology and modern industry, as well as the improvement of the complexity and comprehensive performance of industrial systems and a large number of electromechanical equipment, accurate and rapid fault diagnosis and accurate remaining life prediction have become more and more important. Effective fault diagnosis and prediction methods can quickly and accurately locate the fault source of the system or equipment, and accurately predict the remaining life of the equipment. These key information provide necessary conditions for the maintenance of the system or equipment, thereby avoiding catastrophic accidents and unnecessary economic loss. [0003] At present, the c...

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Problems solved by technology

[0004] In order to overcome the above-mentioned defects in the prior art, the present invention provides a method for predicting the remaining life of electromechanical systems based on dual-time-scale particle filters, which solves the problem that a large amount of computing resources will be wasted when the system state and fault parameters are jointly estimated when the fault parameters are basically not The problem of changing time periods improves the efficiency of fault diagnosis and ensures the real-time performance of remaining life prediction

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