Results 31 to 40 of about 77,768 (302)
Transform-domain sparse representation based classification for machinery vibration signals [PDF]
, 2018 The working state of machinery can be reflected by vibration signals. Accurate classification of these vibration signals is helpful for the machinery fault diagnosis.
Yu Fajun +3 more
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Journal of the Japan Society for Precision Engineering, 1999 This paper describes the generation mechanism of sound caused by mechanical actions of abrasives under lapping process. It has been shown that the surface roughness of the work can be monitored in process by detecting the power level of the vibration signals, in the frequency range of 1-3kHz.
OSADA, Tasuku +2 more
openaire +3 more sources
IEEE Access, 2023 The high-frequency information of downhole vibration can record more specific details about the dynamic response of bottom hole assembly (BHA), which is conducive to analyzing downhole abnormal vibration and diagnosing drilling tool failure.
Fangxing Lyu, Yifan Wang, Yu Mei, Fei Li
doaj +1 more source
Diagnostics of mechanisms based on the analysis of vibration signals [PDF]
, 2022 It is shown that the acqusition and analysis of vibration signals is of a big importance in the modern diagnosis of mechanisms, structures and even practical human activities.
Яворський, І. +7 more
core
High voltage circuit breaker fault diagnosis based on optimized TQWT and D–S evidence theory [PDF]
AIP AdvancesVibration signals serve as an important parameter for diagnosing the mechanical fault diagnosis in high-voltage circuit breakers (HVCBs). Influenced by the complicated mechanical structures, transmission paths of mechanical vibrations, and signal ...
Wei Dong +5 more
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Research on the Rotor Fault Diagnosis Method Based on QPSO-VMD-PCA-SVM
Frontiers in Energy Research, 2022 The rotor system is a core part of rotating machinery equipment. Its safe and reliable operation directly affects the economic benefit of using the equipment and the personal safety of users.
Lu Wang +17 more
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Study on EEMD-Based KICA and Its Application in Fault-Feature Extraction of Rotating Machinery
Applied Sciences, 2018 A method is proposed to improve the feature extraction of vibration signals of rotating machinery. Firstly, the single-channel vibration signal is decomposed with ensemble empirical mode decomposition (EEMD).
Liang Fang, Hongchun Sun
doaj +1 more source
, 2012 Vibration signals from a gearbox are usually very noisy which makes it difficult to find reliable symptoms of a fault in a multistage gearbox. This paper explores the use of time synchronous average (TSA) to suppress the noise and Continue Wavelet ...
Gu, Fengshou +8 more
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A Feature Extraction Method for Vibration Signal of Bearing Incipient Degradation
Measurement Science Review, 2016 Detection of incipient degradation demands extracting sensitive features accurately when signal-to-noise ratio (SNR) is very poor, which appears in most industrial environments.
Huang Haifeng +5 more
doaj +1 more source
Vibration Image Representations for Fault Diagnosis of Rotating Machines: A Review
Machines, 2022 Rotating machine vibration signals typically represent a large collection of responses from various sources in a machine, along with some background noise.
Hosameldin Osman Abdallah Ahmed +1 more
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