The demand for silent bearing applications has started the research to asses the effect of a viscoelastic damping layer in the vicinity of the bearing, for example between the bearing outer ring and the housing. In order to predict the dynamic behaviour of rolling bearing applications a 3D nonlinear time dependent computational model is developed. Both the vibration generation and the vibration...

The paper introduces the concept of fault diagnosis using an observer bank of autoregressive time series models. The concept was applied experimentally to diagnose a number of induced faults in a rolling element bearing using the measured time series vibration signal. Three distinct techniques of autoregressive modeling were compared for their performance and reliability under conditions of var...

In response to the difficulty of weak detection early bearing damage, resonance demodulation technology and principle fiber Bragg grating sensing strain were combined design a generalized sensor, which can extract pulse signal bearing’s damage from rolling bearing. First, dynamics second-order mechanical systems based on principles is proposed. Second, basic structure sensor designed. Then, ANS...

Bearing failure is often attributed to be one of the major causes of breakdown in industrial rotating machines that operate at high and low speeds. This paper presents results of a comparative experimental study on the application of the ultrasound technique for condition monitoring of low speed rolling element bearings and conventional vibration measurements with seeded faults on inner-race de...

Based on the combination of improved Local Mean Decomposition (LMD), Multi-scale Permutation Entropy (MPE) and Hidden Markov Model (HMM), the fault types of bearings are diagnosed. Improved LMD is proposed based on the self-similarity of roller bearing vibration signal by extending the right and left side of the original signal to suppress its edge effect. First, the vibration signals of the ro...