Methods of stator winding on-line diagnostics for large turbine generator preventive maintenance

Poljakov, V.; Tsvetkov, V. A.

doi:10.1109/60.815118

Cited by 5 publications

(1 citation statement)

References 2 publications

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“…(2) Feature level fusion belongs to a middle layer. Expressly, extracting features is the most important procedure; here we consult the method in reference [4] [5] to distill the fingerprints a. , b1 , c. of stator winding bar hollow strand of turbo-generators. Every coefficient has its own physical meaning.…”

Section: Diagnosis Modelmentioning

confidence: 99%

Fault diagnosis for stator winding bar hollow strand blockage of turbogenerators based on data fusion

Wang

Dai

Liu

et al. 2003

Fifth International Symposium on Instrumentation and Control Technology

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Stator Winding Bar Hollow Strand Blockage (SWBHSB) is one ofthe main faults for large turbo-generators with water and hydrogen cooling system. It will lead to increasing water temperature at the bar exit which may cause hidden troubles for turbo-generator's security. According to a three-layer-structural model of data fusion, this paper presents a fault diagnosis method for turbo-generators based on data fusion technology. Firstly, a bp network on pixel level fusion is set up, in which several temperature parameters at the bar exit are accurately computed. Then in feature level fusion, the fingerprints are distilled from the result ofpixel level fusion. Finally, decision level fusion gives a fault diagnosis for the measuring channels and thermometric components. This method can effectively avoid problems such as misinformation and fake report.

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Section: Diagnosis Modelmentioning

confidence: 99%