Entropy measures in machine fault diagnosis: Insights and applications
Entropy, as a complexity measure, has been widely applied for time series analysis. One
preeminent example is the design of machine condition monitoring and industrial fault …
preeminent example is the design of machine condition monitoring and industrial fault …
A multi-source ensemble domain adaptation method for rotary machine fault diagnosis
S Yang, X Kong, Q Wang, Z Li, H Cheng, L Yu - Measurement, 2021 - Elsevier
Transfer learning has good ability to transfer knowledge for fault diagnosis under different
working condition, while domain mismatches or domain shift can still occur during single …
working condition, while domain mismatches or domain shift can still occur during single …
Fault diagnosis and severity analysis of rolling bearings using vibration image texture enhancement and multiclass support vector machines
Fault detection and diagnosis of its severity for machine health monitoring can be stated as a
nested classification problem. For a faulty bearing, each fault location whether belonging to …
nested classification problem. For a faulty bearing, each fault location whether belonging to …
Acoustic signal analysis for detecting defects inside an arc magnet using a combination of variational mode decomposition and beetle antennae search
An accurate, rapid signal analysis is crucial in the acoustic-based detection for internal
defects in arc magnets. Benefiting from the adaptive decomposition without the mode …
defects in arc magnets. Benefiting from the adaptive decomposition without the mode …
Bearing faults classification under various operation modes using time domain features, singular value decomposition, and fuzzy logic system
F Gougam, C Rahmoune… - Advances in …, 2020 - journals.sagepub.com
Nowadays, multi-fault diagnosis has become the most interesting topic for researchers,
since it has lately attracted a substantial attention. The most published works recently have …
since it has lately attracted a substantial attention. The most published works recently have …
Multiscale three-dimensional Holo–Hilbert spectral entropy: a novel complexity-based early fault feature representation method for rotating machinery
The entropy-based complexity measurement tools have been widely used in extracting fault
characteristics of rolling bearings. However, the fault information generally is hidden in both …
characteristics of rolling bearings. However, the fault information generally is hidden in both …
Multi-sensor data fusion for remaining useful life prediction of machining tools by IABC-BPNN in dry milling operations
M Liu, X Yao, J Zhang, W Chen, X Jing, K Wang - Sensors, 2020 - mdpi.com
Inefficient remaining useful life (RUL) estimation may cause unpredictable failures and
unscheduled maintenance of machining tools. Multi-sensor data fusion will improve the RUL …
unscheduled maintenance of machining tools. Multi-sensor data fusion will improve the RUL …
Identification of grinding wheel wear states using AE monitoring and HHT-RF method
S Wang, Y Tian, X Hu, J Wang, J Han, Y Liu, J Wang… - Wear, 2025 - Elsevier
The grinding wheel wear is inevitably accelerated for difficult-to-machine materials due to
their high hardness and wear resistance properties. However, it is difficult to precisely …
their high hardness and wear resistance properties. However, it is difficult to precisely …
Enhanced singular spectrum decomposition and its application to rolling bearing fault diagnosis
B Pang, G Tang, T Tian - IEEE Access, 2019 - ieeexplore.ieee.org
Singular spectrum analysis (SSA) has proven to be a powerful technique for processing non-
stationary signals and has been widely used in the fault diagnosis of rolling bearings. Based …
stationary signals and has been widely used in the fault diagnosis of rolling bearings. Based …
A mechanical fault detection strategy based on the doubly iterative empirical mode decomposition
Empirical mode decomposition (EMD) has been widely used in the fault detection of rotating
machineries. However, the deviation of the local extrema can decline the decomposition …
machineries. However, the deviation of the local extrema can decline the decomposition …