Abstract
As the level of basic manufacturing increases, large complex equipment often has a high reliability level, leading to a lack of failure data and a more difficult health status assessment. Equipment history service environment information is the natural environment in which the equipment is located, which has an important impact on the health status of the equipment. This paper proposes a method for evaluating the health status of large complex equipment based on a matter-element analysis model using equipment historical service environment information. It can integrate statistically obtainable environmental information, such as temperature and humidity, with non-statistically obtainable environmental information, such as salt spray and random shock, and jointly achieve a quantitative evaluation of the health status of the equipment. The evaluation results show that the method can better integrate the influence of incompatible environmental indicators on the health status of equipment, which is of great significance for making scientific and reasonable decisions on the maintenance of large complex equipment.
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