|
| DEVELOPMENT AND APPLICATION OF ANALYSIS AND DIAGNOSIS SYSTEM OF INFORMATION ELEMENTS OF NOISE IN ALUMINUM REDUCTION CELLS |
|
Received:April 11, 2005
|
| View Full Text View/Add Comment Download reader |
| DOI： |
| KeyWord:Aluminum reduction cells; Noise; Wavelet packet; Neural network; Diagnosis system |
|
|
| Hits: 2295 |
| Download times: 21 |
| Abstract: |
| A novel method of pattern recognition and diagnosis of working conditions in aluminum reduction cells based on the wavelet-neural network is proposed according to the shortage of diagnosis way of information elements of noise in aluminum reduction cells. Five types of frequency spectrum characteristics of noise in aluminum reduction cells are gained as training sample of ANN. Diagnosis System of ANN was developed for finding information dements of noise in aluminum reduction cells. The software and hardware and their characteristics of system are analyzed. All simulated information elements of noise are emulated on 350kA prebaked aluminum reduction cells. The high precision of this novel method and good value of application are proved by the simulation results. |
| Close |