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Several signal processing approaches have been adopted so far to mitigate the effect of this background noise in the acquired sensor signal so that fault-related features can be extracted effectively. Addressing this issue, this paper proposes a new approach for fault diagnosis of induction motors utilizing two-dimensional texture analysis based on local binary patterns (LBPs). Firstly, time domain vibration signals acquired from the operating motor are converted into two-dimensional gray-scale images. Then, discriminating texture features are extracted from these images employing LBP operator. These local feature descriptors are later utilized by multi-class support vector machine to identify faults of induction motors. The efficient texture analysis capability as well as the gray-scale invariance property of the LBP operators enables the proposed system to achieve impressive diagnostic performance even in the presence of high background noise. Comparative analysis reveals that LBP<jats:sub>8,1<\/jats:sub> is the most suitable texture analysis operator for the proposed system due to its perfect classification performance along with the lowest degree of computational complexity.<\/jats:p>","DOI":"10.1186\/1687-5281-2013-29","type":"journal-article","created":{"date-parts":[[2013,5,8]],"date-time":"2013-05-08T14:18:08Z","timestamp":1368022688000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Fault diagnosis of induction motors utilizing local binary pattern-based texture analysis"],"prefix":"10.1186","volume":"2013","author":[{"given":"Md Rifat","family":"Shahriar","sequence":"first","affiliation":[]},{"given":"Tanveer","family":"Ahsan","sequence":"additional","affiliation":[]},{"given":"UiPil","family":"Chong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,5,8]]},"reference":[{"issue":"12","key":"60_CR1","doi-asserted-by":"publisher","first-page":"4109","DOI":"10.1109\/TIE.2008.2007527","volume":"55","author":"A Bellini","year":"2008","unstructured":"Bellini A, Filippetti F, Tassoni C, Capolino G-A: Advances in diagnostic techniques for induction machines. 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