摘要

This paper is aimed at the system evaluation problem of mechanical equipment caused by various factors including the multiplicity of structure, close relevancy, and complex operating environment. From functional hierarchy viewpoint of mechanical equipment, a quantitative evaluation model for mechanical equipment state is developed on the basis of fuzzy set synthesis evaluation and analytic hierarchy process (AHP). Considering the concept of human health and the equipment running parameters such as reliability, maintenance, and technical performance, the mechanical equipment health state and its evaluation hierarchy model are discussed. The health value is employed to quantitatively describe the running state degree of mechanical equipment. The weighted vectors of all evaluation hierarchies are discussed by using the AHP method with experiences of expert. Applied fuzzy set evaluation theory, a type of subordinate function of positive and negative indicators, is presented, and evaluation matrix is discussed as well as fuzzy transformation algorithm operators. The valuation model for mechanical equipment's multi feature parameters health state based on fuzzy AHP can be developed. The health value of subsystems can be obtained by the means of "from bottom to top". Therefore, health value database of whole mechanical equipment can be established. Based on the database, the health state of mechanical equipment is explicit, which provides us with theoretical guide for seeking further optimization maintenance strategy. Finally, a health state evaluation of rotary kiln used in cement industry is taken as an example to verify the validity and feasibility of the proposed model.