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Simulation analysis and example verification show that the new algorithm is quite effective in the extraction of industrial robot fault features, and the algorithm still has a smaller relative error than the traditional algorithm under noise conditions, with high estimation accuracy and strong compatibility and robustness. The algorithm not only has high theoretical value in pattern recognition, but also has great practical significance in engineering fields such as robot diagnosis. <\/jats:p>","DOI":"10.1142\/s0218126623500135","type":"journal-article","created":{"date-parts":[[2022,7,21]],"date-time":"2022-07-21T17:02:48Z","timestamp":1658422968000},"source":"Crossref","is-referenced-by-count":1,"title":["Fault Diagnosis of Industrial Robots Based on Phase Difference Correction Method"],"prefix":"10.1142","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6094-2794","authenticated-orcid":false,"given":"Changgui","family":"Xie","sequence":"first","affiliation":[{"name":"Chongqing Vocational Institute of Engineering, Chongqing 402260, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Xu","sequence":"additional","affiliation":[{"name":"Chongqing Vocational Institute of Engineering, Chongqing 402260, P.\u00a0R.\u00a0China"},{"name":"Chongqing University, Chongqing 400044, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2022,8,26]]},"reference":[{"key":"S0218126623500135BIB001","doi-asserted-by":"crossref","first-page":"1691","DOI":"10.1177\/0142331217690222","volume":"40","author":"Xu F.","year":"2017","journal-title":"Trans. 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