An improved FMECA method for equipment reliability based on information fusion

Abstract

Whether in the design and manufacturing stage of complex equipment, or in its operation and maintenance stage, equipment reliability is a key indicator. In order to improve and maintain the reliability of equipment, using FMECA method to determine the key components of equipment is an important foundation. To solve the problem of determining the key components of a complex reciprocating mechanical system, this paper proposes an improved FMECA method based on an adaptive weighted information fusion model, on the basis of the fuzzy FMECA method. By constructing an initial weight judgment support matrix, the weights of different information sources are determined, and the weight results of each influence factor are obtained. Finally, the comprehensive criticality of each fault mode is calculated to rank the importance of each component. The effectiveness of the proposed method was verified using a complex reciprocating mechanical system as an example.