A review on vibration-based condition monitoring of rotating machinery
Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …
functioning states are related to specific patterns that can be extracted from vibration signals …
Multi-input CNN based vibro-acoustic fusion for accurate fault diagnosis of induction motor
Induction motor (IM) is a highly efficient prime mover in industrial applications. To maintain
an uninterrupted operation, accurate fault diagnosis system of IM is required. It can help to …
an uninterrupted operation, accurate fault diagnosis system of IM is required. It can help to …
Fault diagnosis of angle grinders and electric impact drills using acoustic signals
A Glowacz, R Tadeusiewicz, S Legutko… - Applied Acoustics, 2021 - Elsevier
Electric motors use about 68% of total generated electricity. Fault diagnosis of electrical
motors is an important task, because it allows saving a large amount of money and time. An …
motors is an important task, because it allows saving a large amount of money and time. An …
Robust fault recognition and correction scheme for induction motors using an effective IoT with deep learning approach
Maintaining electrical machines in good working order and increasing their life expectancy
is one of the main challenges. Precocious and accurate detection of faults is crucial to this …
is one of the main challenges. Precocious and accurate detection of faults is crucial to this …
Experimental setup for online fault diagnosis of induction machines via promising IoT and machine learning: Towards industry 4.0 empowerment
In recent years, the internet of things (IoT) represents the main core of Industry 4.0 for cyber-
physic systems (CPS) in order to improve the industrial environment. Accordingly, the …
physic systems (CPS) in order to improve the industrial environment. Accordingly, the …
Effective fault diagnosis based on wavelet and convolutional attention neural network for induction motors
Induction motors are important equipment in modern industry. However, the occurrence of
fatigue failure following an extended period of operation invariably results in a catastrophic …
fatigue failure following an extended period of operation invariably results in a catastrophic …
Experimental study results processing method for the marine diesel engines vibration activity caused by the cylinder-piston group operations
O Afanaseva, O Bezyukov, D Pervukhin, D Tukeev - Inventions, 2023 - mdpi.com
The article discusses the method and results of processing statistical data from an
experimental study of vibrations in marine diesel engines caused by the operation of …
experimental study of vibrations in marine diesel engines caused by the operation of …
Effective multi-sensor data fusion for chatter detection in milling process
This paper introduces a newly developed multi-sensor data fusion for the milling chatter
detection with a cheap and easy implementation compared with traditional chatter detection …
detection with a cheap and easy implementation compared with traditional chatter detection …
Adaptive decision-level fusion strategy for the fault diagnosis of axial piston pumps using multiple channels of vibration signals
Q Chao, HH Gao, JF Tao, YH Wang, J Zhou… - Science China …, 2022 - Springer
An axial piston pump is a key component that plays the role of the “heart” in hydraulic
systems. The pump failure will lead to an unexpected breakdown of the entire hydraulic …
systems. The pump failure will lead to an unexpected breakdown of the entire hydraulic …
Passive thermography based bearing fault diagnosis using transfer learning with varying working conditions
Bearing is one of the core components of any rotating machine, and its failure is widespread.
This reason drives continuous monitoring and detecting bearing faults during machine …
This reason drives continuous monitoring and detecting bearing faults during machine …