Periodic impulse components are a typical symptom of rotating machinery failure, which often masked by heavy background noise. It is great practical significance to research how obtain periodic achieve fault diagnosis machinery. Fast spectrum correlation (Fast-SC), as non-stationary and nonlinear signal processing method, has been studied in feature extraction suppressing noise enhance componen...

Intelligent on-site fault diagnosis and professional vibration analysis are essential for the safety stability of rotating machinery operation. This paper represents a scheme based on two-stage compressed sensing triaxial data, which realizes data reconstruction analysis. In 1st stage, signals using pre-designed hybrid measurement matrix; these can be used both time-frequency transform reconstr...

The vibrations of rotating machinery are produced by a combination of periodic and random processes due to the machine's rotation cycle and interaction with the real world. The combination of such components can give rise to signals which have periodically time-varying ensemble statistics and are best considered as cyclostationary. In this paper, second-order cyclic statistical methods are desc...

Opportunities exist for developing the Acoustic Emission (AE) technique on various forms of rotating machinery, such as gearboxes. This paper provides a short summary on recent developments in the application of AE to gear defect diagnosis, and, experimental results are presented that examine and explore the effectiveness of AE for seeded gear defect diagnosis. It is concluded that the applicat...

Most birds and many insects use periodic wing motion to propel themselves and maneuver. Most conventional flying machines are propelled by rotating machinery, achieve lift through rotating or fixed wings, and are controlled through the production of steady aerodynamic forces produced by rotors or movable wings. Many of the first powered flapping-wing micro air vehicles (MAVs) effectively replac...