Maintenance decision-making method for complex systems based on maintenance cost optimization
A complex system and maintenance cost technology, applied in the field of complex system maintenance decision-making based on maintenance cost optimization, can solve problems affecting performance degradation trends, etc.
Active Publication Date: 2022-06-03
AVIC SHANGHAI AERONAUTICAL MEASUREMENT CONTROLLING RES INST
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[0002] A complex equipment system is composed of multiple unit components, and the components belonging to the same system have an interdependent relationship in the maintenance behavior, which is mainly reflected in: 1) When maintaining a certain component, it is often necessary to maintain the same system 2) Group maintenance of several components under the same system often saves maintenance costs than individual maintenance of each component; 3) The performance degradation state of one component will affect the performance degradation of other components in the same system trend
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[0015] By adopting the method based on Gaussian mixture model, the present invention evaluates the health state of each component of the complex system in real time, generates a decision threshold based on the sample data in the normal state, uses the gray prediction model to predict the degradation trend of the health state, and determines the preventive effect of each component. Maintenance interval and fault maintenance interval, and finally make corresponding maintenance decisions according to the minimization of maintenance cost per unit time.
[0016] The present invention will be further described below with reference to the accompanying drawings.
[0017] Step 1: In view of the multiple problems of monitoring parameters related to the performance degradation and failure of each component belonging to the complex system, a Gaussian Mixture Model (GMM) method is used to perform multi-parameter fusion. There is a point {x in a high-dimensional space (dimension n) i |i=1,...
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The invention discloses a complex system maintenance decision-making method based on maintenance cost optimization. By adopting a method based on a Gaussian mixture model, the health status of each component of the complex system is evaluated in real time, and a decision threshold is generated based on sample data in a normal state. The prediction model predicts the degradation trend of the health state, determines the preventive maintenance interval and fault maintenance interval of each component, and finally makes the corresponding maintenance decision according to the minimum maintenance cost per unit time. It can effectively and reasonably arrange the maintenance strategy of each component in the complex system, and reduce the cost of system-level maintenance.
Description
technical field [0001] The invention belongs to the field of equipment health management, in particular to a complex system maintenance decision-making method based on maintenance cost optimization. Background technique [0002] The complex equipment system is composed of multiple unit components, and the components belonging to the same system have interdependent relationship in the maintenance behavior, which is mainly reflected in: 1) When maintaining a certain component, it is often necessary to repair the same system. 2) Repairing several components under the same system in groups often saves maintenance costs than repairing each component individually; 3) The performance degradation state of one component will affect the performance degradation of other components in the same system trend. In view of the above reasons, it is necessary to carry out research on the maintenance decision-making method at the system level, effectively and reasonably arrange the maintenance...
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IPC IPC(8): G06Q10/00G06Q10/06G06Q10/04
CPCG06Q10/04G06Q10/06393G06Q10/20Y04S10/50
Inventor 单添敏沈勇王景霖林泽力曹亮顾浩天
Owner AVIC SHANGHAI AERONAUTICAL MEASUREMENT CONTROLLING RES INST