A multi-attribute-based evaluation method for equipment performance degradation
A device performance, multi-attribute technology, applied in the direction of instrument, calculation, character and pattern recognition, etc., can solve the problems of degradation of analysis performance, difficulty in guaranteeing validity, difficulty in guaranteeing the validity of normal state representation, etc., to achieve convenient extraction, time domain and the convenient effect of frequency domain features
Active Publication Date: 2021-07-13
XI AN JIAOTONG UNIV
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Problems solved by technology
However, the existing methods mostly describe the degree of deviation between the degraded data and the normal state data from the perspective of a single attribute (such as distance), and lack of similarity measurement analysis from the perspective of multiple attributes, and its effectiveness is difficult to guarantee; at the same time, the normal state of equipment The effective characterization of the following data features will be the benchmark for analyzing performance degradation. The existing methods lack consideration of the overall characteristics of data changes, making it difficult to guarantee the validity of normal state characterization
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[0083] The effectiveness of the method proposed in the present invention is verified by using the full life data of rolling bearings, which comes from the Intelligent Maintenance System Center of the University of Cincinnati.
[0084] During the experiment, the four rolling bearings involved in the experiment were installed on the same shaft with a rotational speed of 2000r / min. In addition, a certain radial load (about 6000lb, or 26.70kN) was applied to the shaft and bearings. During the experiment, the degree of bearing degradation was verified by collecting bearing debris in the lubricating oil, which was collected using a magnetic bolt. As the experiment progresses, when the amount of debris collected by the magnetic bolt reaches a certain threshold, the collection of experimental data is stopped. Each bearing is equipped with two acceleration sensors (that is, horizontal and vertical directions), and the vibration signal (that is, the sensor reading) is collected every 10...
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The invention discloses a method for evaluating equipment performance degradation based on multi-attributes, using a three-layer wavelet packet decomposition algorithm to analyze equipment performance degradation data samples, and using the obtained energy characteristics of the third-layer nodes as characteristics of equipment performance degradation Vector, to realize the multi-scale feature extraction of data changes; then, based on the K-means clustering method, perform cluster analysis on the feature set in the normal state of the equipment, and obtain the cluster center, the maximum cluster radius and the maximum folder in the normal state of the equipment. Combining the three as the benchmark for the evaluation of the equipment performance degradation state; constructing the distance and angle that can describe the change of the equipment operating state, and based on this, establishing the measurement index of the equipment degradation state, and finally realizing the effective analysis of the equipment performance degradation. The invention can accurately and timely analyze the degradation degree of equipment performance, and formulate maintenance plan or replacement plan of equipment in a targeted manner.
Description
technical field [0001] The invention belongs to the technical field of equipment safety, and in particular relates to a multi-attribute-based equipment performance degradation evaluation method. Background technique [0002] The equipment will experience a series of different degrees of performance degradation from normal to complete failure during service operation. In order to ensure the safe and reliable operation of the equipment, it is necessary to accurately and timely analyze the degree of performance degradation through the monitoring of the degradation process. Make a maintenance plan or replacement plan for the equipment in a timely manner. Therefore, using performance monitoring data during equipment service to analyze and evaluate equipment performance degradation is of great significance for preventing accident losses caused by equipment failure, and it is also a hot topic in current research. [0003] In practice, the whole life cycle data of equipment is ofte...
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IPC IPC(8): G06Q10/00G06K9/62
CPCG06Q10/20G06F18/23213
Inventor 姜洪权高建民高智勇王荣喜刘东程周涛梁泽明
Owner XI AN JIAOTONG UNIV