首页|期刊导航|铁道工程科学（英文）|Quantitative detection of locomotive wheel polygonization under non-stationary conditions by adaptive chirp mode decomposition
铁道工程科学（英文）2022，Vol.30Issue(2)：129-147,19.
Quantitative detection of locomotive wheel polygonization under non-stationary conditions by adaptive chirp mode decomposition
Quantitative detection of locomotive wheel polygonization under non-stationary conditions by adaptive chirp mode decomposition
摘要
关键词
Wheel polygonal wear/Fault diagnosis/Non-stationary condition/Adaptive mode decomposition/Time-frequency analysisKey words
Wheel polygonal wear/Fault diagnosis/Non-stationary condition/Adaptive mode decomposition/Time-frequency analysis引用本文复制引用
Shiqian Chen,Kaiyun Wang,Ziwei Zhou,Yunfan Yang,Zaigang Chen,Wanming Zhai..Quantitative detection of locomotive wheel polygonization under non-stationary conditions by adaptive chirp mode decomposition[J].铁道工程科学（英文）,2022,30(2):129-147,19.基金项目
This work is supported by the National Natural Science Foundation of China(Grant Nos.52005416,51735012,and 51825504),the Sichuan Science and Technology Program(Grant No.2020YJ0213),the Fundamental Research Funds for the Central Universities,SWJTU(Grant No.2682021CX091)and the State Key Laboratory of Traction Power(Grant No.2020TPL-T 11). （Grant Nos.52005416,51735012,and 51825504）
