Applications of machine learning to machine fault diagnosis: A review and roadmap
Intelligent fault diagnosis (IFD) refers to applications of machine learning theories to
machine fault diagnosis. This is a promising way to release the contribution from human …
machine fault diagnosis. This is a promising way to release the contribution from human …
Multi-source information fusion based on rough set theory: A review
Abstract Multi-Source Information Fusion (MSIF) is a comprehensive and interdisciplinary
subject, and is referred to as, multi-sensor information fusion which was originated in the …
subject, and is referred to as, multi-sensor information fusion which was originated in the …
Fault diagnosis of electric impact drills using thermal imaging
A Glowacz - Measurement, 2021 - Elsevier
Fault diagnosis enables to make savings related to maintenance. The presented work
describes fault diagnosis method based on analysis of thermal images. An original method …
describes fault diagnosis method based on analysis of thermal images. An original method …
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 …
Trends in audio signal feature extraction methods
G Sharma, K Umapathy, S Krishnan - Applied Acoustics, 2020 - Elsevier
Audio signal processing algorithms generally involves analysis of signal, extracting its
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …
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 …
Ventilation diagnosis of angle grinder using thermal imaging
A Glowacz - Sensors, 2021 - mdpi.com
The paper presents an analysis and classification method to evaluate the working condition
of angle grinders by means of infrared (IR) thermography and IR image processing. An …
of angle grinders by means of infrared (IR) thermography and IR image processing. An …
Challenges and opportunities of deep learning models for machinery fault detection and diagnosis: A review
In the age of industry 4.0, deep learning has attracted increasing interest for various
research applications. In recent years, deep learning models have been extensively …
research applications. In recent years, deep learning models have been extensively …
Condition monitoring and fault diagnosis of induction motor
SK Gundewar, PV Kane - Journal of Vibration Engineering & Technologies, 2021 - Springer
Background An induction motor is at the heart of every rotating machine and hence it is a
very vital component. Almost in every industry, around 90% of the machines apply an …
very vital component. Almost in every industry, around 90% of the machines apply an …
A state-of-the-art review on sensors and signal processing systems in mechanical machining processes
Sensors are the main equipment of the data-based enterprises for diagnosis of the health of
system. Offering time-or frequency-dependent systemic information provides prognosis with …
system. Offering time-or frequency-dependent systemic information provides prognosis with …