Abstract
Abstract Prognosis and Health Management (PHM) is the important technical means to achieve condition based maintenance(CBM), and Health assessment is the important part of the PHM system. PHM is widely used in aerospace area, But it lacks application in ground field, In order to improve the accuracy of self-propelled gun system health assessment, taking a certain self-propelled gun system as the object, in this paper, takes self-propelled gun as an example, divide it’s health status into 5 levels, for equipment that fails the test, it can be directly determined to be in a fault state; for equipment that has passed the test, and come up with a model of health assessment that based on D-S evidence theory, first, Select the health indicators which can comprehensively represent the status of propelled artillery, and use the normalized quantization method to Process the data. Then, employ the D-S evidence theory to make the integrated decision on the membership of each health parameter after treatment, finally, determine the ultimately health status of self-propelled artillery, the rationality of the method is verified by experiments.
Highlights
At present, the elimination of equipment’s abnormal state mainly rely on regular maintenance and break down maintenance, and that exposes many disadvantages in the modern equipment maintenance support activities
Health assessment is an important function of equipped Prognosis and Health Management (PHM) system, Make correct assessment of the health status of equipment, provide a basis for equipment fault prediction and maintenance decision, and provide technical support for the accuracy of equipment maintenance, and it is of great significance to performance, operational and environment of improve the combat effectiveness and service life of artillery.in this paper, take self-propelled guns as the research object to carry out health assessment research
From the perspective of health status assessment, first, Select the health indicators which can comprehensively represent the status of propelled artillery, and use the normalized quantization method to Process the data
Summary
The elimination of equipment’s abnormal state mainly rely on regular maintenance and break down maintenance, and that exposes many disadvantages in the modern equipment maintenance support activities. Under such circumstances, the need for condition based maintenance(CBM) is increasing. Employ the D-S evidence theory to make the integrated decision on the membership of each health parameter after treatment, determine the health status of self-propelled artillery
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