Multi-fault diagnosis of rotating machinery based on deep convolution neural network and support vector machine

Y Xue, D Dou, J Yang - Measurement, 2020 - Elsevier
… Because multi-fault vibration signals in rotating machinery are often more complicated than
… able to respond adequately to the complex task of fault diagnosis. To address this, a fault …

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
… Several researchers have published work related to fault diagnosis in rotating machines, …
that focuses more on the “multi-fault diagnosis” aspect of rotating machines is lacking. There is …

Multi-fault diagnosis of rotating machinery by using feature ranking methods and SVM-based classifiers

RV Sánchez, P Lucero, JC Macancela… - … sensing, diagnostics …, 2017 - ieeexplore.ieee.org
… This paper describes a methodological framework to detect eleven rotating machinery faults
by using feature ranking methods and support vector machine, based on information that …

An improved EEMD with multiwavelet packet for rotating machinery multi-fault diagnosis

H Jiang, C Li, H Li - Mechanical Systems and Signal Processing, 2013 - Elsevier
… task of rotating machinery multi-fault diagnosis. … rotating machinery multi-fault diagnosis In
this section, the proposed method is applied to the multi-fault diagnosis of rotating machinery. …

Feature ranking for multi-fault diagnosis of rotating machinery by using random forest and KNN

RV Sanchez, P Lucero, RE Vasquez… - Journal of Intelligent …, 2018 - content.iospress.com
… framework to rank features in multi-fault diagnosis of rotating machinery by using RF and …
nonconventional features in fault diagnosis processes for rotating machinery. Five databases …

A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion

S Gawde, S Patil, S Kumar, K Kotecha - Artificial Intelligence Review, 2023 - Springer
… using multi-sensor data" aspect of rotating machines. In this regard, this paper … “multi-Fault
diagnosis using multi-sensor data fusion” of Industrial Rotating Machines employing Machine

Multi-fault diagnosis of rotating machinery via iterative multivariate variational mode decomposition

Z Li, Y Lv, R Yuan, Q Zhang - Measurement Science and …, 2022 - iopscience.iop.org
… is difficult to deal with multi-fault signals. A new multi-fault diagnosis method is proposed in
this … Benefiting from these algorithms, this method applies MVMD to multi-fault diagnosis with …

Multi-fault diagnosis of rotating machine under uncertain speed conditions

RK Mishra, A Choudhary, S Fatima… - Journal of Vibration …, 2024 - Springer
multi-fault diagnosis system that can work irrespective of speed conditions. Vibration signatures
were acquired from the different experimental multi-faultmulti-fault classification model. …

Multi-fault diagnosis for rotating machinery based on orthogonal supervised linear local tangent space alignment and least square support vector machine

Z Su, B Tang, Z Liu, Y Qin - Neurocomputing, 2015 - Elsevier
… of fault diagnosis, this article proposes a multi-fault diagnosis method for rotating machinery
… space alignment (OSLLTSA) and least square support vector machine (LS-SVM). First, the …

Machine learning techniques for multi-fault analysis and detection on a rotating test rig using vibration signal

I Lupea, M Lupea - Symmetry, 2022 - mdpi.com
… faults are introduced in a rotating machinery test rig that is … multi-fault analysis and detection
system applies machine … applied to solve the multi-fault detection problem. Conclusions …