| Title |
Acoustic Sensors based Fault Diagnosis Algorithm for Large-scaled Power Machines using Neural Independent Component Analysis |
| Authors |
조현철(Cho, Hyun-Cheol) ; 이진우(Lee, Jin-Woo) ; 이영진(Lee, Young-Jin) ; 이권순(Lee, Kwon-Soon) |
| Keywords |
Fault diagnosis ; Acoustic sensors ; Large-scaled power machines ; ICA ; Neural networks |
| Abstract |
We present a novel fault diagnosis methodology using acoustic sensor systems and neural independent component analysis for large-scaled power machines. Acoustic sensors are carried out to measure sounds generated from power machines whose signal is used to determine whether fault is occurred or not. Acoustic measurements are independently mixed and deteriorated from original source signals. We propose a demixing algorithm against such mixed signals by means of independent component analysis which is achieved based on information theory and higher-order statistics to derive learning mechanism. |