Track irregularity detection serves as one of the most essential technologies to interpret in-service condition high-speed railway (HSR) and ensure comfortability safety in HSR service. This study newly proposed a novel on-board technique integrated with developed algorithm for identifying longitudinal track obtain monitoring further based maintenance (CBM). Such includes data acquisition unit,...

BACKGROUND Cognitive bias modification (CBM) protocols have been developed to help establish the causal role of biased cognitive processing in maintaining psychopathology and have demonstrated therapeutic benefits in a range of disorders. The current study evaluated a cognitive bias modification training paradigm designed to target interpretation biases (CBM-I) associated with obsessive compuls...

A systematic fault tolerant control (FTC) scheme based on fault estimation for a quadrotor actuator, which integrates normal control, active and passive FTC and fault parking is proposed in this paper. Firstly, an adaptive Thau observer (ATO) is presented to estimate the quadrotor rotor fault magnitudes, and then faults with different magnitudes and time-varying natures are rated into correspon...

in this paper, concept of cross-bispectrum is used to investigate and model vibration interaction due to nonlinearities in faulted drive shafts in an AH-64 helicopter. Most of the currently available vibration-monitoring tools are built around autoand cross-power spectral analyses which have limited value in detecting frequency correlations higher than first order. Studying higher order correla...

Bearings are one of the most common causes failure for rotating electric machines. Intelligent condition-based monitoring (CbM) can be used to predict rolling element bearing fault modes using non-invasive and inexpensive sensing. Strategically placed accelerometers acquire vibration signals, which contain salient prognostic information regarding state health. Machine learning (ML) algorithms c...