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Four segments of the time domain signal are calculated, the DC factor, DC offset, peak current and RMS and used in the step to calculate the RMS current factor. Tang et al. [61] proposed a methodology combining a new signal extraction method, a new FP-set threshold systems and a new BP-set threshold system based on the HMM. Meanwhile, process fault of the cooling fan is recognized in an independent feedforward neural network, and noise factors are eliminated. Peng and Wang [67] proposed a novel 3-time feature set (i.e. interquartile range (IQR), median, and mean) for the single-channel current-time curve and used it to distinguish the three types of machine faults with a high degree of accuracy. It should be noted that the machine faults are identified by a simple PIR filter-based chaotic system, which is based on the chaotic time series. Ojha et al. [68] incorporated GVM and BP neural networks in a fuzzy logic system, and used five features along with a preprocessed time domain signal to distinguish between the recorded signals in which: (1) a faulty O-ring of engine case and (2) a faulty O-ring of power turbine shaft seal, and (3) a faulty hydraulic seal for the locator. The proposed approach has shown a promising potential as the detection accuracy was greater than 90%. Varma et al. [69] proposed a machine-segmentation method based on the "Early Tripe Signals" (ET(s)) extracted from the current-time curve. These ET(s) are generated using a time segmentation technique. Based on the extracted ETs, minimum window shifts from the highest and second highest peaks are found. These shifted cycles are considered as the early tripe states of the machine clock. Thus, the average cycle, the time deviation of the average cycle and the maximum cycle are considered as the machine-segmentation features. The established machine-segmentation technique proved to be more precise and robust than other methods.
For an AC frequency, a number of time domain features are calculated, the peak current, minimum current, DC current, RMS current, peak RMS and minimum RMS. Yin [75] proposed an algorithm to identify the DC current, minimum current, and RMS current features. d2c66b5586