Fault diagnosis in rotating machinery using pattern recognition technique / Nor Azlan Othman, Nor Salwa Damanhuri and Visakan Kadirkamanathan

This paper presents a detail review of fault diagnosis in rotating machinery. Pattern recognition technique which needs three mean steps of fault diagnosis -feature extraction, dimensionality reduction and fault classification - was used. This paper focuses on the faulty bearing which is mainly caus...

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Bibliographic Details
Main Authors: Othman, Nor Azlan (Author), Damanhuri, Nor Salwa (Author), Kadirkamanathan, Visakan (Author)
Format: Book
Published: Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA), 2009.
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100 1 0 |a Othman, Nor Azlan  |e author 
700 1 0 |a Damanhuri, Nor Salwa  |e author 
700 1 0 |a Kadirkamanathan, Visakan  |e author 
245 0 0 |a Fault diagnosis in rotating machinery using pattern recognition technique / Nor Azlan Othman, Nor Salwa Damanhuri and Visakan Kadirkamanathan 
260 |b Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA),   |c 2009. 
500 |a https://ir.uitm.edu.my/id/eprint/16297/2/AJ_NOR%20AZLAN%20OTHMAN%20ESTEEM%2009.pdf 
520 |a This paper presents a detail review of fault diagnosis in rotating machinery. Pattern recognition technique which needs three mean steps of fault diagnosis -feature extraction, dimensionality reduction and fault classification - was used. This paper focuses on the faulty bearing which is mainly caused by mass imbalance and axis misalignment. By analyzing the vibration signal obtained from the test rigs (rigs that are built to demonstrate the effect of faults in rotating machinery), it gives solid information concerning any faults within the rotating machinery. 
546 |a en 
690 |a Machinery exclusive of prime movers 
655 7 |a Article  |2 local 
655 7 |a PeerReviewed  |2 local 
787 0 |n https://ir.uitm.edu.my/id/eprint/16297/ 
856 4 1 |u https://ir.uitm.edu.my/id/eprint/16297/  |z Link Metadata