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Multi-component system state opportunity maintenance optimization method

A system state, optimization method technology, applied in design optimization/simulation, instrumentation, data processing applications, etc., can solve problems such as less failure data

Active Publication Date: 2020-04-17
DONGHUA UNIV
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  • Claims
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Problems solved by technology

However, for new products and new equipment, there are less condition monitoring data for similar products, and sometimes for safety and reliability considerations, the failure data is also less

Method used

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  • Multi-component system state opportunity maintenance optimization method
  • Multi-component system state opportunity maintenance optimization method
  • Multi-component system state opportunity maintenance optimization method

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Embodiment Construction

[0076] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0077] A multi-component system state machine maintenance optimization method provided by the present invention includes the following content:

[0078] Part 1 of the method of the present invention: single component degradation prediction method

[0079] Step 1: Perform condition monitoring on components and extract degradation features that can reflect component degradation. In this section, the degraded eigenvector of...

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Abstract

The invention relates to a multi-component system state opportunity maintenance optimization method. When an equipment maintenance strategy is formulated, the current state of the equipment is considered, and the future degradation trend and failure probability of the equipment are also considered. Only if the future degradation trend of the equipment is accurately known, the maintenance strategycan be better formulated. Thus, multiple prediction algorithms are compared, an equipment degradation prediction and residual life prediction model for a single individual is established on the basisof analyzing a state monitoring signal of the equipment, and an opportunity state maintenance model of the multi-component equipment in a long task period is established by considering the structure of the system and the length of the task period. According to the invention, advanced signal acquisition technology and signal processing technology are used, detection and real-time prediction of thesystem are realized, and the state-based maintenance theory and method of the equipment opportunity are expanded.

Description

technical field [0001] The invention relates to a state-based maintenance plan optimization technique for a multi-component system. Specifically, considering the characteristics of different products, combined with engineering practice, the establishment of individual equipment life prediction models for no-failure data and censored data, and applying the model to multi-component systems to establish equipment opportunities in multi-component systems Condition-based maintenance optimization model. Background technique [0002] In engineering practice, reasonable maintenance of equipment is usually an important means to improve equipment reliability. Multi-component systems are often maintained by individual maintenance or group maintenance methods, and these two maintenance methods either cause frequent shutdowns or waste the life of components. When performing maintenance, it is often necessary to shut down the equipment, which may cause equipment maintenance to take up t...

Claims

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Application Information

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IPC IPC(8): G06Q10/00G06Q10/04G06Q10/06G06F30/20
CPCG06Q10/20G06Q10/04G06Q10/0639
Inventor 肖雷汤俊萱鲍劲松
Owner DONGHUA UNIV
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