2011
DOI: 10.1016/j.ymssp.2010.11.007
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The combined use of vibration, acoustic emission and oil debris on-line monitoring towards a more effective condition monitoring of rotating machinery

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Cited by 182 publications
(96 citation statements)
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(20 reference statements)
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“…Recently several new condition monitoring methods have been developed, which fuse different types of signals in order to achieve better accuracy in identifying faults. It has been observed in multiple works (see for example [1]- [6]) that different signals are most informative for different faults: vibration signals are well suited for monitoring bearing faults [1], [2], current signals are good for detecting problems such as broken rotor bars or eccentricity relatedfaults [1], [3] and capacitor sensors may be used to measure the partial discharges that are indicative of stator winding insulation problems [1], [4].…”
Section: Introductionmentioning
confidence: 99%
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“…Recently several new condition monitoring methods have been developed, which fuse different types of signals in order to achieve better accuracy in identifying faults. It has been observed in multiple works (see for example [1]- [6]) that different signals are most informative for different faults: vibration signals are well suited for monitoring bearing faults [1], [2], current signals are good for detecting problems such as broken rotor bars or eccentricity relatedfaults [1], [3] and capacitor sensors may be used to measure the partial discharges that are indicative of stator winding insulation problems [1], [4].…”
Section: Introductionmentioning
confidence: 99%
“…Methods of fusing multiple signals for condition monitoring purposes have been reported by Safizadeh and Latifi [2], who fused vibration and load signals to diagnose bearing faults in induction motors, Khazee et al [3], who combined vibration and acoustic signals to diagnose faults in gears, Yang and Kim [5], who fused vibration and current signals and Loutasa et al [6], who combined vibration, acoustic and oil-debris signals to diagnose faults in gears. In each case, data fusion was shown to increase the accuracy of the system.…”
Section: Introductionmentioning
confidence: 99%
“…The common nondestructive evaluation (NDE) methods to monitor flaws in splines are debris monitoring, acoustic emission, and vibration. The methods can be applied individually [1][2][3][4][5][6] or concurrently [7,8]. While debris monitoring does not require any electronics, it is simple to interpret and has excellent sensitivity to wear-related failure; this method is insufficient to non-benign cracks as no debris is produced.…”
Section: Introductionmentioning
confidence: 99%
“…With the development of modern industry, the demands about continuity of production and the reliability of mechanical equipment continue to increase, therefore, that the ability to precisely monitor the wear condition of mechanical equipment and to prevent serious malfunction caused by excessive wear gradually show its significance. The wear debris detection sensor is thus an effective tool for wear condition monitoring [1] and starts to show its great vitality because of the high detection efficiency, veracity and the ability to timely reflect the wear state changing process of equipment.…”
Section: Introductionmentioning
confidence: 99%
“…With the development of modern industry, the demands about continuity of production and the reliability of mechanical equipment continue to increase, therefore, that the ability to precisely monitor the wear condition of mechanical equipment and to prevent serious malfunction caused by excessive wear gradually show its significance. The wear debris detection sensor is thus an effective tool for wear condition monitoring [1] and starts to show its great vitality because of the high detection efficiency, veracity and the ability to timely reflect the wear state changing process of equipment.At the present, some research institutions have manufactured various kinds of wear debris detection sensor based on different physical principles mainly including optics (light scattering and diffraction), ultrasonic, electrics (capacitance, resistance and inductance) and image [2] . By comparing these sensors' properties, it is shown that the optical wear particle detection sensor is easily affected by the bubbles in the oil and gives false negative results.…”
mentioning
confidence: 99%