Maintenance decision-making method and system for k/n load balancing system

Abstract

The invention discloses a maintenance decision-making method for a k / n load balancing system, and the method comprises the steps: calculating a distribution function of part fault time based on a loadaverage distribution rule for describing the correlation of parts and a built multi-stage random process model for describing the degradation process of the parts of the system; defining all possibleconditions in one detection period according to the system state and the system reliability during offline detection, and calculating the probability of each possible condition according to the distribution function of the component fault time; calculating the system total operation cost and the system life cycle length in a system life cycle; and calculating the operation cost of the system in unit time to obtain an optimal detection time sequence and an optimal reliability threshold of the system. According to the invention, a new maintenance decision scheme is provided, so that the systemequipment is ensured to operate in a reliable state at the lowest maintenance cost.

Description

technical field [0001] The invention relates to the technical field of equipment maintenance, in particular to a maintenance decision method and system for a k / n load sharing system. Background technique [0002] Equipment used in various scenarios will degrade due to temperature, humidity, wear and other reasons, which affects the reliability of the equipment and even leads to major equipment accidents. Preventive maintenance refers to the use of statistical analysis, maintenance economic analysis, etc. to formulate appropriate maintenance plans before equipment failures to reduce and avoid the damage and losses caused by failures. The most important purpose of preventive maintenance is to timely repair equipment before equipment failures Maintain or replace the equipment to minimize the loss caused by equipment failure. [0003] In traditional maintenance decision-making methods for k / n systems, the correlation of each component in the system is usually ignored, and only ...

AI Technical Summary

Problems solved by technology

However, in the k / n load sharing system, all components share the total system load. The failure of a certain component will cause the accelerated degradation of other surviving components. The correlation between components needs to be considered. Therefore, the maintenance decision of the traditional k / n system The method is not applicable to the k / n load sharing system, for the k / n load sharing system, it is necessary to construct a new maintenance decision-making technical solution

On the other hand, at present, the maintenance decision-making methods of many systems are based on online detection, but in practical applications, most systems have no way to detect the degradation of each component online, or even if they can detect online, the maintenance cost of the system will be very high

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