Excitation test method and system supporting predictive maintenance of electromechanical equipment
A technology of electromechanical equipment and testing methods, which is applied to the testing of machines/structural components, measuring electronics, and measuring devices, etc. It can solve the problems of helpless passive testing, incompetent refined testing, and difficult empirical testing, etc., to achieve active safety. , to achieve the effect of predictive maintenance
Inactive Publication Date: 2020-06-05
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology
First, it is difficult to analyze the mechanism, and most of the related equipment and facilities rely on external third-party manufacturing. The refined testing ability under the analysis of mechanism laws is really not up to expectations; second, it is difficult to test empirically, and the small sample / zero working condition environment is randomly distributed. Reactive testing under empirical failure modes is often helpless
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[0029] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0030] A stimulus test method supporting predictive maintenance of electromechanical equipment, comprising the following steps:
[0031] Step 1: Define the safety incentives for online scenarios of electromechanical equipment, and build an incentive data set covering complete working conditions;
[0032] The online application of any electromechanical equipment is a finite and countable scenario. In finitely countable scenarios, any set of safety incentives defined by the user based on predictive maintenance elements. It can always be decomposed into several mutually incompatible "meta-incentives", so that only the corresponding "meta-incentives" need to be loaded according to the positive sequence time flow relationship for testing, and the coverage of all working conditions of electromechanical equipment can be completed. The union of "meta...
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The invention discloses an excitation test method and system supporting predictive maintenance of electromechanical equipment, and the method comprises the following steps: 1, defining the safety inducement of an online scene of the electromechanical equipment, and constructing an excitation data set covering a complete working condition; 2, translating data in the excitation data set in the step1 into a physical quantity language; 3, loading the electromechanical equipment according to the physical signal projected by the test facility; 4, obtaining a test result according to the test in thestep 3, and forming a safety baseline database covering the complete working condition; and 5, completing predictive maintenance of the electromechanical equipment according to the security baselinedatabase in the step 4. According to the invention, the difficulties of mechanism analysis and experience detection are overcome, and the excitation test is realized through working condition coverageand representation diagnosis.
Description
technical field [0001] The invention relates to the technical field of fault diagnosis and health maintenance of electromechanical equipment, in particular to an excitation test method and system supporting predictive maintenance of electromechanical equipment. Background technique [0002] Electromechanical equipment, as a complex component, serves in a complex environment, and completes a multi-functional service with time-space distribution characteristics, is a complex large system, and its safety behavior has many determinants, complex coupling, and abundant emergence. Therefore, the identification of safety-related elements of electromechanical equipment, the mechanism of correlation between elements, the law of emergence, the prediction of abnormal behavior, and the risk assessment based on early warning have become major issues to support the understanding of safety behavior of electromechanical equipment and the guarantee of safe operation and maintenance. [0003] ...
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IPC IPC(8): G01R31/00G01M99/00
CPCG01M99/005G01R31/00
Inventor 宋晶
Owner SOUTHWEST JIAOTONG UNIV