Fuzzy Petri network-based system reliability analysis and fault diagnosis method

Abstract

The invention discloses a fuzzy Petri network-based system reliability analysis and fault diagnosis method which comprises the following steps: (1) analyzing system faults, determining an inference rule of a fuzzy Petri network according to a relation between every two system faults, and building a fuzzy Petri network-based fault diagnosis model; (2) counting the occurrence probability of a bottom event, and setting a system fault level; (3) setting an initial credibility value, a transition rule confidence coefficient, a transition threshold value and an initial marking matrix according to a fault event; (4) determining a key fault to be prevented according to an MYCIN credibility matrix reasoning method; (5) building an initial place set, a target place set and reachability sets of the place sets, reversely inquiring a path, which causes the fault, according to an occurred fault defect, and determining an initial place according to a rule that the credibility is the highest, judging whether the event is activated according to the set threshold value, and determining the credibility of the activated event. The fuzzy Petri network-based system reliability analysis and fault diagnosis method has fuzzy reasoning capacity and graphic description capacity and has the characteristic of accurately expressing fault information.

Description

technical field [0001] The invention belongs to the field of logistics system detection, and in particular relates to a system reliability analysis and fault diagnosis method based on fuzzy Petri nets. Background technique [0002] As a high-tech, palletizing technology plays an important role in modern logistics. With the continuous improvement of people's requirements for palletizing speed, the traditional manual palletizing method is becoming more and more difficult to meet people's requirements. In this case, palletizing Palletizing robots came into being. With the development of science and technology, industrial palletizing robots are more and more widely used in the field of logistics automation. Palletizing robots mainly exist in the form of palletizing manipulators in the palletizing system, and are playing an increasingly important role in automated logistics. With the continuous expansion of production scale, the logistics industry has higher and higher requireme...

AI Technical Summary

Problems solved by technology

The failure of the palletizing system containing the manipulator is not easy to be found, which brings certain difficulties to the maintenance of workers and greatly affects the production efficiency

The structure of the palletizing system is relatively complex and the faults are random. Therefore, it is of great significance to explore an efficient method to analyze and study the reliability of the system and accurately express the fault information.

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