Titlebook: Advances in Condition Monitoring of Machinery in Non-Stationary Operations; Proceedings of the F Fakher Chaari,Radoslaw Zimroz,Mohamed Hadd

epicondylitis

https://doi.org/10.1007/978-981-13-3630-0nd (IFB) is analyzed. The time-varying nature of the IFB might be caused by e.g. time-varying load or speed, time-varying signal-to-noise ratio (SNR), presence of other damages with distributed nature or time-varying transmission path, especially for source signals that propagate through a rolling e

TAP

Jin-Yong Lee,Maki Tokumoto,Masahiko Satohon is introduced. Secondly, a method for the association of detected spectral patterns with the characteristic frequencies of the investigated system is presented. This approach takes into consideration the slippage phenomenon of rolling element bearings. Thirdly, a full-band sideband demodulation m

flimsy

Jin-Yong Lee,Maki Tokumoto,Masahiko Satohr such circumstances changes in the calculated features can not be unambiguously associated with change in system condition. In this paper we propose a feature appropriate for diagnosing faults in mechanical drives that is robust to fluctuations in operating conditions. Therefore, its time evolution

Arthr-

Dipti Srivastava,Neerja Srivastavaality of the demodulated signal depends on the selected frequency band for demodulation. Kurtogram is widely used to detect the frequency bandwidth which is the most excited by a defect. However in presence of high noises, the Kurtogram may be deficient in effectively detecting the resonances and it

討好女人

CARE

https://doi.org/10.1007/978-3-031-47390-6 invariable, the gear-fault-induced modulation phenomenon which manifest as frequency sidebands equally spaced around the meshing frequency and its harmonics in vibration spectra. The Hilbert transform has been widely used in demodulation of such signals and has given good results. However, under va

Antarctic

硬化

Phytoremediation of Cadmium: A Reviewies is a keystone for performance optimization and to improve the operational control feeding smart electric grids. Yet, tackling the complexity of SCADA data sets is a challenging task. The philosophy underlying the present work is discretization of the continuous motion of machine states and error

Insufficient

VALID