A Comprehensive Evaluation Study on the Health Status of Multi-Feature Parameters of Mechanical Equipment Based on Fuzzy Hierarchical Analysis

Abstract

This paper is aimed at the system evaluation problem of mechanical equipment caused by factors, such as the multiplicity of structure, close relevancy, and complex operating environment, from the view point of functional hierarchy, a quantitative evaluation method of mechanical equipment multi-feature parameters health state was developed on the basis of theory of fuzzy set synthesis evaluation and analytic hierarchy process (AHP). Considering the concept of human health and the equipment running parameters (including reliability, maintenance, technical performance, etc.), the mechanical equipment health state and its evaluation hierarchy model were analyzed. The health value was employed to quantitatively describe the running state degree. The weight vectors of all evaluation hierarchies were discussed by using the AHP method with the experiences of experts. Applied the fuzzy set evaluation theory, the evaluation matrix was discussed as well as fuzzy transformation algorithm operators. The valuation model for mechanical equipment's multi-feature parameters health state based on fuzzy -AHP was built. The health value of subsystems can be obtained by means of “from bottom to top”, then the database of health values of whole mechanical equipment will be established. Based on the database, the health state of mechanical equipment is clear, which provides theoretical guide for seeking further optimization maintenance strategy. Finally, a health state evaluation of rotary kiln used in cement industry was taken as an example to verify the effectiveness and feasibility of the proposed method.