Dempster-shafer evidence theory for multi-bearing faults diagnosis

• Main Authors: Kar, Hoou Hui, Meng, Hee Lim, Ali Al-Obaidi, Salah Mahdi, Leong, Mohd. Salman @ Yew Mun
• Format: Article
• Published: Elsevier 2017
• Subjects: TJ Mechanical engineering and machinery; T Technology
• Online Access: http://eprints.utm.my/id/eprint/66481/; http://dx.doi.org/10.1016/j.engappai.2016.10.017
• Institution: Universiti Teknologi Malaysia

Support vector machines (SVMs) are frequently used in automated machinery faults diagnosis to classify multiple machinery faults by handling a high number of input features with low sampling data sets. SVMs are well known for fault detection that involves binary fault classifications only (i.e., hea...