000			01913ntm a2200253 a 4500
001			vtls000083925
003			KUKTEM
005			20251117113238.0
008			141120t2013 my a f m 000 0 eng d
020			_aTHE0006194(Local)
039		9	_a201905151723 _baida _c201411261113 _dtraining1 _y201411201714 _zariffin
040			_aUMP
090			_aTJ223.V3 H45 2013 r Bc.
100	0		_aMohd Helmi Rasid
245	1	0	_aAcoustic emission analysis for bearing condition monitoring / _cMohd Helmi Rasid
260			_aKuantan, Pahang : _bUMP, _c2013
300			_axv, 56 p. : _bill. ; _c30 cm. + _e1 CD-ROM
502			_aProject paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2013
504			_aBibliography : p. 55-56
520	3		_aAcoustic emission (AE) was originally developed for non-destructive testing of static structures, however, over the years its application has been extended to health monitoring of rotating machines and bearings. It offers the advantage of earlier defect detection in comparison to vibration analysis. Current methodologies of applying AE for bearing diagnosis are reviewed. The investigation reported in this paper was centered on the application of standard acoustic emissions (AE) characteristic parameters on a rotational speed. An experimental test-rig was designed to allow seeded defects on the inner race, corrode and contaminated defect. It is concluded that irrespective of the rotational speed and high levels of background noise, simple AE parameters such as amplitude and AE counts provided an indications of bearing defect. In addition to validating already established AE techniques, this investigation focuses on establishing an appropriate threshold level for AE counts.
650		0	_aAcoustic emission
650		0	_aValves _xSafety measures
999			_aVIRTUA40 _c5373 _d5379
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992