| contributor author | A. El-Shafei | |
| contributor author | N. Rieger | |
| contributor author | T. A. F. Hassan | |
| contributor author | A. K. Soliman | |
| contributor author | Y. Zeyada | |
| date accessioned | 2017-05-09T00:23:38Z | |
| date available | 2017-05-09T00:23:38Z | |
| date copyright | July, 2007 | |
| date issued | 2007 | |
| identifier issn | 1528-8919 | |
| identifier other | JETPEZ-26960#703_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/135696 | |
| description abstract | In this paper, the application of neural networks and fuzzy logic to the diagnosis of faults in rotating machinery is investigated. The learning-vector-quantization (LVQ) neural network is applied in series and in parallel to a fuzzy inference engine, to diagnose 1x faults. The faults investigated are unbalance, misalignment, and structural looseness. The method is applied to a test rig (, 2003, ASME Paper No. GT 2003-38450), and the effectiveness of the integrated Neural Network and Fuzzy Logic method is illustrated. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Neural Network and Fuzzy Logic Diagnostics of 1x Faults in Rotating Machinery | |
| type | Journal Paper | |
| journal volume | 129 | |
| journal issue | 3 | |
| journal title | Journal of Engineering for Gas Turbines and Power | |
| identifier doi | 10.1115/1.2227417 | |
| journal fristpage | 703 | |
| journal lastpage | 710 | |
| identifier eissn | 0742-4795 | |
| keywords | Fuzzy logic | |
| keywords | Artificial neural networks | |
| keywords | Machinery AND Networks | |
| tree | Journal of Engineering for Gas Turbines and Power:;2007:;volume( 129 ):;issue: 003 | |
| contenttype | Fulltext | |
