{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,7]],"date-time":"2026-06-07T04:50:12Z","timestamp":1780807812869,"version":"3.54.1"},"reference-count":37,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T00:00:00Z","timestamp":1689465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Fundamental Research Funds for the Central Public Welfare Research Institute","award":["2020\u20139035"],"award-info":[{"award-number":["2020\u20139035"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A Wigner-Ville transform-based (WVT-based) load spectrum fast editing method for vehicle parts is proposed to improve the efficiency of durability tests. In this method, the instantaneous energy spectrum (IES) of the original time-domain signal is obtained via the Wigner-Ville transform, which is used as a criterion to identify time-domain points of ineffective damage contribution. A genetic algorithm (GA) based threshold optimization model is also proposed to automatically set the threshold of the IES under consideration of the relative damage requirements and statistical parameters of the signal. The effectiveness of the above proposed editing method is demonstrated by compiling an SUV\u2019s suspension coil spring signal obtained from physical sensor-based measurements. Meanwhile, the same spectrum is also processed using time-domain editing, Short-time Fourier-transform, and S-transform methods for comparison. The results show that the WVT-based edited spectrum has a time-duration retention ratio of about 76.30%, which is significantly superior to other methods, with the same pseudo-damage retention and statistical parameter error constraints. Moreover, in combination with the fatigue simulation analysis, it verifies that the load effect of the edited spectrum matches well with that of the original. Thus, the proposed method is considered more effective for compiling component load signals in vehicle acceleration durability tests.<\/jats:p>","DOI":"10.3390\/s23146435","type":"journal-article","created":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T01:06:36Z","timestamp":1689555996000},"page":"6435","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Accelerated Editing Method for Vehicle Durability Fatigue Load Spectrum Based on Wigner-Ville Transform"],"prefix":"10.3390","volume":"23","author":[{"given":"Yongle","family":"Yang","sequence":"first","affiliation":[{"name":"College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400030, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhifei","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400030, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangfeng","family":"Peng","sequence":"additional","affiliation":[{"name":"College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400030, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9547-8212","authenticated-orcid":false,"given":"Jie","family":"Jin","sequence":"additional","affiliation":[{"name":"Research Institute of Highway Ministry of Transport, Beijing 100088, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qinghua","family":"Wang","sequence":"additional","affiliation":[{"name":"Xiangyang Daan Automobile Test Center Co., Ltd., Xiangyang 441004, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,7,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"107903","DOI":"10.1016\/j.measurement.2020.107903","article-title":"A method for editing multi-axis load spectrums based on the wavelet transforms","volume":"162","author":"Shangguan","year":"2020","journal-title":"Measurement"},{"key":"ref_2","unstructured":"Farrar, C., Duffey, T., Cornwell, P., and Bement, M. 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