Envelope analysis is a widely used method for bearing fault detection. To obtain high detection accuracy, it is critical to select an optimal narrowband for envelope demodulation. Fast Kurtogram is an effective method for optimal narrowband selection. However, fast Kurtogram is not sufficiently robust because it is very sensitive to random noise and large aperiodic impulses which normally exist...

Kurtograms have been verified to be an efficient tool in bearing fault detection and diagnosis because of their superiority in extracting transient features. However, the short-time Fourier Transform is insufficient in time-frequency analysis and kurtosis is deficient in detecting cyclic transients. Those factors weaken the performance of the original kurtogram in extracting weak fault features...

This paper presents a new Fast Kurtogram Method in the time-frequency domain using novel types of statistical features instead of the kurtosis. For this study, the problem of four classes for Bearing Fault Detection is investigated using various statistical features. This research is conducted in four stages. At first, the stability of each feature for each fault mode is investigated. Then, res...

The detection of cavitation formation in hydraulic turbomachinery has been widely investigated due to its significant impact on their steady and dynamic operation. aim this study is the application Spectral Kurtosis tool order effectively detect impulsive shock waves generated during implosion vapour bubbles. methodology applied evaluated vibration signals obtained from two different semi-open ...

Vibration time signals emitted by a defective rolling element bearing are often used to determine its health condition. For real-world measurements these fault may be weak compared the remaining content in measured signal causing increased difficulties detection. One way of enhancing detection is demodulation at filtered frequency band which Signal-to-Noise-Ratio (SNR) high. In present paper, w...

Bearings are the backbone of every rotary machine that ranges from civilian to military applications. A single fault in a bearing can shut down whole causing personal damage and economic loss. To prevent sudden rotating machines, signal processing techniques used find out early-stage faults. In this paper, new detection algorithm is proposed uses Harmony Search (HS) determine optimum frequency ...