State space-based multi-featured device state evaluation method and application

Abstract

The invention discloses a state space-based multi-featured device state evaluation method and application, belonging to the technical field of device state monitoring. The method comprises the following steps: a marker post state comment set building link provides an evaluation output range; an optimized selection and standardization link for feature parameters provides standardization input; a state space building link provides a state representation mode; a space affiliation calculating link provides state evaluation indexes; and a state matching link provides the final output conclusion. In the invention, the research thinking on multi-featured device state evaluation is expanded, the traditional linear distortion phenomenon caused by direct linear superposition of multi-featured utility values can be solved, the formulation of state grading standard is enriched, contribution degree of all feature elements to the state evaluation result can be quantized, a scientific method for improving the state monitoring and analysis level of complex equipment is improved, labor cost is reduced and enterprise benefit is improved.

Description

technical field [0001] The invention belongs to the technical field of equipment status monitoring. In particular, it relates to a multi-feature equipment state evaluation method and application based on state space. In particular, it relates to the state recognition, diagnosis and evaluation technology of complex equipment with multi-feature attribute conditions. Background technique [0002] Since the 20th century, with the rapid development of industrial production and science and technology, the structure of equipment used to dominate the production and living process has become increasingly complex, and the status of equipment has become more and more variable and complex. In order to ensure the normal service operation of the equipment, people need to scientifically and accurately grasp the operating status of the identification equipment, and carry out targeted maintenance and management of the equipment according to the status. [0003] At present, with the develop...

AI Technical Summary

Problems solved by technology

However, in the actual process, due to the high integration of most of the equipment and the complex operation principle, it is often difficult to represent the factors affecting the equipment status with the index value or logical relationship of a single feature, and the complex relationship between the status features is a nonlinear relationship.

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