[BOOK][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance
PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
A review on diagnostic and prognostic approaches for gears
Prognostics and health management has become a significant part of component life-cycle
in modern industries. The prognostics and health management framework is implemented in …
in modern industries. The prognostics and health management framework is implemented in …
Review of recent advances in the application of the wavelet transform to diagnose cracked rotors
Wavelet transform (WT) has been used in the diagnosis of cracked rotors since the 1990s. At
present, WT is one of the most commonly used tools to treat signals in several fields …
present, WT is one of the most commonly used tools to treat signals in several fields …
Gear fault detection using noise analysis and machine learning algorithm with YAMNet pretrained network
S Patil, K Wani - Materials Today: Proceedings, 2023 - Elsevier
Gears are an essential machine element in every machinery. Faults in gears must be
detected promptly to reduce downtime and avoid the sudden failure of the machine …
detected promptly to reduce downtime and avoid the sudden failure of the machine …
Diagnostics and prognostics of planetary gearbox using CWT, auto regression (AR) and K-means algorithm
Condition monitoring of machine is recognized as effective strategy for undertaking the
maintenance in wide variety of industries. Planetary gearbox is a critical component in …
maintenance in wide variety of industries. Planetary gearbox is a critical component in …
Anomaly Detection and Remaining Useful Life Estimation for the Health and Usage Monitoring Systems 2023 Data Challenge
Gear fault detection and remaining useful life estimation are important tasks for monitoring
the health of rotating machinery. In this study, a new benchmark for endurance gear …
the health of rotating machinery. In this study, a new benchmark for endurance gear …
Identification of localized defects and fault size estimation of taper roller bearing (NBC_30205) with signal processing using the Shannon entropy method in MATLAB …
Rotating machine is a common class of machinery in most of the industry and the main root
cause of machinery failure is a faulty bearing. Bearings are most widely used in various …
cause of machinery failure is a faulty bearing. Bearings are most widely used in various …
An evolving neuro-fuzzy classifier for fault diagnosis of gear systems
J Shah, W Wang - ISA transactions, 2022 - Elsevier
Gear systems (or gearboxes) are widely used in rotating machinery. Reliable gear fault
diagnostic techniques and systems are critically needed to provide early warning of a …
diagnostic techniques and systems are critically needed to provide early warning of a …
Improvements in the Wavelet Transform and Its Variations: Concepts and Applications in Diagnosing Gearbox in Non-Stationary Conditions
TD Nguyen, PD Nguyen - Applied Sciences, 2024 - mdpi.com
Wavelet transform is a powerful time-frequency-based analysis method often used in gear
fault diagnostics. The development of wavelet transform is closely linked to the improvement …
fault diagnostics. The development of wavelet transform is closely linked to the improvement …
Beyond deep features: Fast random wavelet kernel convolution for weak-fault feature extraction of rotating machinery
Y Feng, C Zheng, J Chen, T Pan, J **e, S He… - Mechanical Systems and …, 2025 - Elsevier
Extracting meaningful and significant signal features is the eternal theme of mechanical fault
diagnosis. Recently deep learning has promoted the success of automatic feature extraction …
diagnosis. Recently deep learning has promoted the success of automatic feature extraction …