000			02039nam a2200241 a 4500
001			vtls000079080
003			KUKTEM
005			20251114204614.0
008			140530t2010 my a f m 000 0 eng d
020			_aTHE0006049(Local)
039		9	_a201905151239 _baida _c201406030903 _dtraining1 _c201405301525 _dtraining1 _y201405301002 _ztraining1
040			_aUMP
090			_aTJ177 .K43 2012 rs Dip.
100	1		_aKhaliswaran keresnan
245	1	0	_aDevelopment of user interface for vibration measurement / _cKhaliswaran Keresnan
260			_aKuantan, Pahang : _bUMP , _c2012
300			_axi, 36 p. : _bill. (some col.) ; _c30 cm. + _e1 CD-ROM
502			_aProject paper (Diploma of Mechanical Engineering)-- Universiti Malaysia Pahang – 2012
504			_aBibliography : p. 32-35
520	3		_aToday’s industry uses increasingly complex machince, some with extremely demanding performance criteria. Failed machine can lead to economic loss and safety problems due to unexpected production stoppages. Fault diagnosis in the condition monitoring of these machines is crucial for increasing machinery availability and reliability.Fault diagnosis of machinery is often a difficult and daunting task. To be truly effective, the process needs to be analysis to reduce the reliance on manual data interpretation. It is the aim of this research to analysis this process using data from machinery vibrations. This thesis focuses on the development, and application of an analysis diagnosis procedure for rolling elements bearing faults. Rolling element bearings are representative in most industrial rotating machinery. Besides, these elements can also be tested economically in the laboratory using relatively simple test rigs.Novel moden signal processing method were applied to vibration signals collected from rolling elements tests. This included time-frequency signal processing techniques such as FFT.
650		0	_aVibration _xMeasurement
999			_aVIRTUA40 _c4951 _d4957
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992