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Machine condition monitoring plays an important role in industry to ensure the continuity of the process. This work presents a simple and yet, fast approach to detect simultaneous machinery faults using sound mixture emitted by machines. We developed a microphone array as the sensor. By exploiting the independency of each individual signal, we estimated the mixture of the signals and compared time-domain...
This paper proposed a new feature extraction method based on independent component analysis (ICA) from one- dimensional signal. The ICA based feature corresponds to the higher-order statistics. It contains plentiful phase information and thus, has the merit in some applications. The new feature extraction is done in three steps: first, the ICA basis filters of one class signal are trained by a number...
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