Rotordynamic Faults: Recent Advances in Diagnosis and Prognosis | Zendy

Ryan Walker | Zendy; Suresh Perinpanayagam | Zendy; Ian Jennions | Zendy

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Rotordynamic Faults: Recent Advances in Diagnosis and Prognosis

Author(s) -

Ryan Walker,

Suresh Perinpanayagam,

Ian Jennions

Publication year - 2013

Publication title -

international journal of rotating machinery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.265

H-Index - 33

eISSN - 1026-7115

pISSN - 1023-621X

DOI - 10.1155/2013/856865

Subject(s) - computer science , fault (geology) , identification (biology) , bearing (navigation) , key (lock) , condition monitoring , catastrophic failure , reliability engineering , computer security , artificial intelligence , engineering , geology , electrical engineering , materials science , botany , seismology , biology , composite material

Diagnosis and condition monitoring in rotating machinery has been a subject of intense research for the last century. Recent developments indicate the drive towards integration of diagnosis and prognosis algorithms in future integrated vehicle health management (IVHM) systems. With this in mind, this paper concentrates on highlighting some of the latest research on common faults in rotating machines. Eight key faults have been described; the selected faults include unbalance, misalignment, rub/looseness, fluid-induced instability, bearing failure, shaft cracks, blade cracks, and shaft bow. Each of these faults has been detailed with regard to sensors, fault identification techniques, localization, prognosis, and modeling. The intent of the paper is to highlight the latest technologies pioneering the drive towards next-generation IVHM systems for rotating machinery

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