Anomaly Detection Method of Middle-low Speed Suspension System Based on Improved Canonical Correlation Analysis

doi:10.11908/j.issn.0253-374x.21186

Home > Archive>Volume 50, Issue 2, 2022 >241-252. DOI:10.11908/j.issn.0253-374x.21186

Anomaly Detection Method of Middle-low Speed Suspension System Based on Improved Canonical Correlation Analysis
DOI:
                        10.11908/j.issn.0253-374x.21186
                    
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Affiliation:1.Facility Design and Instrumentation Institute， China Aerodynamics Research and Development Center， Mianyang 621000， China;2.College of Intelligence Science and Technology， National University of Defense Technology，Changsha 410073，China
Clc Number:TP29
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Abstract:

This paper presents an anomaly detection method for middle-low suspension system based on an improved canonical correlation analysis （CCA） by using the multiple types of monitoring data from the suspension system. A better threshold and a higher detection rate can be obtined by the proposed method in comparison with the thresholds by K-medoids -based method and the support vector data description （SVDD）-based method.

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WANG Ping, MEI Zi, LONG Zhiqiang. Anomaly Detection Method of Middle-low Speed Suspension System Based on Improved Canonical Correlation Analysis[J].同济大学学报(自然科学版),2022,50(2):241~252

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Received:May 02,2021
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Online: March 16,2022
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