A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

Feature extraction of rolling bearing’s early weak fault based on EEMD and tunable Q-factor wavelet transform

A fault diagnosis scheme for rolling bearing based on local mean decomposition and improved multiscale fuzzy entropy

Rotating machinery is widely applied in various types of industrial applications. As a promising field for reliability of modern industrial systems, early fault diagnosis (EFD) techniques have attracted increasing attention from both academia and industry. EFD is critical to provide appropriate information for taking necessary maintenance actions and thereby prevent severe failures and reduce financial losses. A massive amounts of research work has been conducted in last two decades to develop EFD techniques. This paper reviews and summarizes the research works on EFD of gears, rotors, and bearings. The main purpose of this paper is to serve as a guidemap for researchers in the field of early fault diagnosis. After a brief introduction of early fault diagnosis techniques, the applications of EFD of rotating machine are reviewed in two aspects: fault frequency-based methods and artificial intelligence-based methods. Finally, a summary and some new research prospects are discussed.

https://www.mdpi.com/1099-4300/21/4/409/pdf

A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery.

Early fault feature extraction of rolling bearing based on ICD and tunable Q-factor wavelet transform

Early fault detection in automotive ball bearings using the minimum variance cepstrum

A model for sound propagation in capillary ducts with mean flow

Single-figure rating of porous woven hoses using a non-linear flow resistance model

Localization of a sound source in a noisy environment by hyperbolic curves in quefrency domain

Spatial envelope was proposed to show the location of acoustic sources and overall radiation pattern by the authors [C.-S. Park and Y.-H. Kim, J. Acoust. Soc. Am. 125, 206–211 (2009)]. The envelope can provide sufficient information on where the sources are and how the energy propagates into space. This concept is certainly useful for time domain acoustic holography since one can utilize not only spatial envelope to envisage what one needs to know but also temporal envelope to reduce the number of data. A holographic process to obtain spatial envelope is therefore introduced and verified, and how much one can reduce the processing time by implementing envelopes is compared with the conventional holography.

Choon-Su Park

Papers

Early fault detection in automotive ball bearings using the minimum variance cepstrum

A model for sound propagation in capillary ducts with mean flow

Single-figure rating of porous woven hoses using a non-linear flow resistance model

Localization of a sound source in a noisy environment by hyperbolic curves in quefrency domain

Time domain visualization using acoustic holography implemented by temporal and spatial complex envelope.