The traditional means of monitoring the health of industrial systems involves the use of
vibration and performance monitoring techniques amongst others. In these approaches …

To solve the problem of vibration motor fault detection accuracy and inefficiency in
smartphone components, this paper proposes a fault diagnosis method based on the …

In this paper, a far-field acoustic signal processing method based on a uniform circular
microphone array is proposed for the gear fault detection. The method takes ensemble …

Although having robust construction, the three-phase induction motor is frequently exposed
to electrical, mechanical, and thermal stress, which, over time, may result in failure. This …

In the design of an extrinsic Fabry–Perot interferometer (EFPI) acoustic sensor, broadband
response and high-sensitivity sensing are usually conflicting and need to be carefully …

Data-driven anomaly detection for machines in the wireless Industrial Internet of Things
(IIoT) environments is a critical task in modern industrial domains for system stability and …

In this study, an alternative approach based on redundant and complementary fault
signatures is proposed for reliable condition monitoring of a Brushless DC motor drive in …

The article is devoted to researching of application efficiency of acoustic signals digital
processing methods for the electromechanical systems (EMS) functional diagnostics in real …

산업 현장에서 기계 설비의 이상 상태를 감지하고 모니터링하는 것은 중요하다. 음향 신호
기반의 설비 고장 감지 기술은 기존의 이미지/영상 기반이나 기타 별도 센서 기반의 이상 감지 …

Advances in machine learning have paved the way for new data-centric approaches in the
field of prognostics and health management of industrial applications. These approaches …