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Abstract
Factory approval test (FAT) or shop run test is a unique opportunity to evaluate rotating machine performance before delivery to site. This paper presents a new signal processing method to evaluate vibration measurement during FAT or shop run test based on recorded noisy data. It is also a necessary step for machine reliability, fault diagnosis, future predictive maintenance and condition monitoring.
Additional information
Notes on contributors
A Almasi
Amin Almasi is lead rotating equipment engineer at WorleyParsons, Brisbane, Australia. He previously worked at Technicas Reunidas (Madrid, Spain) and Fluor (various offices). He has a MSc and BSc in mechanical engineering, is a chartered professional engineer of Engineers Australia (MIEAust CPEng – Mechanical) and IMechE (CEng MIMechE), and RPEQ (Registered Professional Engineer) in Queensland. He specialises in rotating machines including centrifugal, screw and reciprocating compressors, gas turbines, steam turbines, engines, pumps, subsea, offshore rotating machines, LNG units, condition monitoring and reliability. Amin is an active member of Engineers Australia, IMechE, ASME, CMVI, Vibration Institute, SPE, IEEE, SMRP and IDGTE. He has authored more than 45 papers and articles dealing with rotating equipment, condition monitoring, offshore, subsea and reliability.