The generation of synthetic vibration signals enables the testing novel machine diagnostic methods without costly introduction real failures. One major goals vibration-based condition monitoring is early detection bearing faults. This paper presents a modeling technique based on combination known mechanical properties modeled object (phenomenological part) and observation (behavioral part). mod...

According to the non-linear and non-stationary characteristics of vibration signal in roller grinding manufacturing process, background signals, namely when grinder is idling during contact grinding, are collected separately, decomposed into multiple by method CEEMDAN modal decomposition. Then several components removed correlation analysis. Finally, denoised analyzed wavelet threshold denoisin...

BACKGROUND Understanding the diversity of animal signals requires knowledge of factors which may influence the different stages of communication, from the production of a signal by the sender up to the detection, identification and final decision-making in the receiver. Yet, many studies on signalling systems focus exclusively on the sender, and often ignore the receiver side and the ecological...

Modal signals of transverse sensing of truncated conical shells with simply supported boundary condition at both ends are investigated. The embedded piezoelectric layer on the surface of conical shell is used as sensors and output voltages of them in considered modes are calculated. The Governing sensing signal displacement equations are derived based on the Kirchhoff theory, thin-shell assumpt...

Suppression of Random Vibration in Flexible Structures using a Hybrid Vibration Absorber M.H. Tso, J. Yuan, W.O. Wong Abstract A design method is proposed to suppress stationary random vibration in flexible structures using a hybrid vibration absorber (HVA). While the traditional vibration absorber can damp down the vibration mainly at the pre-tuned mode of the primary structure, active damping...

This paper presents a new EEMD-MUSIC- (ensemble empirical mode decomposition-multiple signal classification-) based methodology to identify modal frequencies in structures ranging from free and ambient vibration signals produced by artificial and natural excitations and also considering several factors as nonstationary effects, close modal frequencies, and noisy environments, which are common s...