Aperiodic condition-based maintenance method under condition of considering equipment detection uncertainty

Abstract

The invention discloses a non-periodic condition-based maintenance method under the condition of considering equipment detection uncertainty; the method specifically comprises the steps: firstly obtaining corresponding degradation distribution according to an existing equipment degradation data set, and solving a distribution type; then assuming distribution obeyed by each parameter of degradation distribution, and obtaining prior information of the parameter by using a hypothesis testing method; assuming that a maintenance process threshold value and an adopted detection planning equation parameter are decision variables, considering that each time of detection obeys the random impact of Gaussian distribution, and establishing a non-periodic maintenance optimization model by using a semi-regeneration process; and finally, adopting a particle swarm algorithm based on a catastrophe strategy to obtain a related optimal value solution of a decision variable, and updating posterior parameters of the model through a Bayesian theory. According to the method, the influence of the cost of manpower, material resources and the like required by continuous monitoring and periodic detection of a traditional maintenance strategy is reduced; meanwhile, the influence of uncertainty brought by detection is considered, and technical reference is provided for condition-based maintenance detection, corresponding prediction, health management and the like.

Description

technical field [0001] The invention relates to a non-period condition-based maintenance method. Background technique [0002] With the development of modern industry, equipment (components and systems) become more and more reliable. Often, it is difficult to accurately estimate the reliability and lifetime of highly reliable devices. Stochastic processes are often used to predict the lifetime distribution of components and systems. Gamma processes, in particular, have attracted much attention due to their independent, nonnegative, strictly increasing properties. Maintenance is performed to control and extend the remaining useful life (RUL) of the equipment. Generally, maintenance can be divided into two broad categories: replacement maintenance (CM) and preventive maintenance (PM). Replacement maintenance can lead to higher production loss and maintenance costs, so PM strategies usually receive more attention. When monitoring equipment condition, consider condition-bas...

AI Technical Summary

Problems solved by technology

The collection of system information needs to be scheduled accordingly, and continuous condition monitoring can allow for the collection of large amounts of information to guide maintenance decisions, but doing so can be costly

Periodic detection can effectively avoid the high cost of continuous monitoring, but it still costs a lot in the detection stage

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