Research on sparsity indexes for fault diagnosis of rotating machinery

Y Miao, M Zhao, J Hua - Measurement, 2020 - Elsevier
This paper originated from an investigation of sparsity indexes for fault diagnosis of rotating
machinery. Although various sparsity indexes have been widely applied in machinery fault

Fault diagnosis for rotating machinery using vibration measurement deep statistical feature learning

C Li, RV Sánchez, G Zurita, M Cerrada, D Cabrera - Sensors, 2016 - mdpi.com
… Even in the vibration sensor category, different features sensitive to fault detection have
been extracted in recent years. Most of these feature extractions are performed in the time …

Fault detection and diagnosis with imbalanced and noisy data: A hybrid framework for rotating machinery

M Jalayer, A Kaboli, C Orsenigo, C Vercellis - Machines, 2022 - mdpi.com
… with fault detection and diagnosis in rotating machinery: (… fault detection and diagnosis
models. Implementing these models enable us to monitor and control the parameters of machines

Artificial neural network based fault diagnostics of rotating machinery using wavelet transforms as a preprocessor

BA Paya, II Esat, MNM Badi - Mechanical systems and signal processing, 1997 - Elsevier
fault detection and identify the exact kinds of fault occurring in the model drive-line. It is
shown that by using multilayer artificial neural networks on the sets of preprocessed data by …

A review on the signal processing methods of rotating machinery fault diagnosis

S Li, Y Xin, X Li, J Wang, K Xu - 2019 IEEE 8th Joint …, 2019 - ieeexplore.ieee.org
… latest fault diagnosis method of rotating machineryfault identification method of vibration
signal, and summarizes some main research contents of fault diagnosis of rotating machinery at …

Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review

J Chen, Z Li, J Pan, G Chen, Y Zi, J Yuan… - Mechanical systems and …, 2016 - Elsevier
… As a significant role in industrial equipment, rotating machinery fault diagnosis (RMFD) …
MT supplies a possibility for the solution of compound faults detection of rotating machinery. …

Review of local mean decomposition and its application in fault diagnosis of rotating machinery

LI Yongbo, SI Shubin, LIU Zhiliang… - Journal of Systems …, 2019 - ieeexplore.ieee.org
… its applications in fault diagnosis of rotating machinery. Feng et … the area of fault diagnosis
of rotating machines. Only about … fault detection and diagnosis of rotating machinery machines

Fault diagnosis of rotating machinery with a novel statistical feature extraction and evaluation method

W Li, Z Zhu, F Jiang, G Zhou, G Chen - Mechanical Systems and Signal …, 2015 - Elsevier
… It is also difficult to analytically ensure the accuracy of fault diagnosis. In this paper, a
feature extraction and evaluation method is proposed for fault diagnosis of rotating machinery. …

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach: A review of two decades of research

S Gawde, S Patil, S Kumar, P Kamat, K Kotecha… - … Applications of Artificial …, 2023 - Elsevier
… related to fault diagnosis in rotating machines, mainly exploring a single type of fault. However,
a … Accelerometers are widely used in fault detection of rotating machines as they convey …

Higher-order time–frequency analysis and its application to fault detection in rotating machinery

SK Lee, PR White - Mechanical Systems and Signal Processing, 1997 - Elsevier
… of time–frequency methods for fault diagnosis in rotating machinery based on acoustic or …
Acoustic and vibration data from rotating machinery have long been used for fault detection […