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Keywords: fault diagnosisClose
Proc. ASME. POWER2007, ASME 2007 Power Conference, 263-269, July 17–19, 2007
Paper No: POWER2007-22011
... Generator Vibration Fault diagnosis Compositive characteristics Rotor vibration Stator current Rotor vibration characteristics are first analyzed, when the rotor winding inter-turn short circuit fault, the air-gap dynamic eccentricity fault, the air-gap static eccentricity fault and...
Proc. ASME. POWER2007, ASME 2007 Power Conference, 275-278, July 17–19, 2007
Paper No: POWER2007-22020
... turbine-generator vibration monitoring fault diagnosis Web Java It is very important to monitor vibration and diagnose fault for the operating safety of turbine-generator. The remote monitor and diagnosis via the cyber-based technology is a necessity. The difference between browser...
Proc. ASME. POWER2007, ASME 2007 Power Conference, 279-282, July 17–19, 2007
Paper No: POWER2007-22022
... rotating machinery vibration fault diagnosis neural networks The fault diagnosis method based on artificial neural networks is summarized. An object-oriented paradigm is introduced to fault diagnosis for large scale rotating machinery, for example, turbine-generator. A fault diagnosis...
Proc. ASME. POWER2005, ASME 2005 Power Conference, 347-352, April 5–7, 2005
Paper No: PWR2005-50123
... 28 10 2008 For an established fault diagnosis system which is based on it own expert system, it is usually incapable to diagnosis the new operating conditions, of which the knowledge has not been explored by the system. It is the purpose of the paper to develop the approach of...
Proc. ASME. POWER2005, ASME 2005 Power Conference, 489-492, April 5–7, 2005
Paper No: PWR2005-50208
... orbit moment variants artificial neural network fault diagnosis Orbit is a significant symptom in the fault diagnosis of rotating machine. The orbit is a 2-D image and can be described by moment invariants, the shape property of 2-D image, which is a description with translating...