Challenges and opportunities of AI-enabled monitoring, diagnosis & prognosis: A review
Abstract Prognostics and Health Management (PHM), including monitoring, diagnosis,
prognosis, and health management, occupies an increasingly important position in reducing …
prognosis, and health management, occupies an increasingly important position in reducing …
A review of data-driven machinery fault diagnosis using machine learning algorithms
J Cen, Z Yang, X Liu, J Xiong, H Chen - Journal of Vibration Engineering & …, 2022 - Springer
Purpose This article aims to systematically review the recent research advances in data-
driven machinery fault diagnosis based on machine learning algorithms, and provide …
driven machinery fault diagnosis based on machine learning algorithms, and provide …
Data-driven fault diagnosis method based on the conversion of erosion operation signals into images and convolutional neural network
Z Wang, W Zhao, W Du, N Li, J Wang - Process Safety and Environmental …, 2021 - Elsevier
In the industrial process, the safety and reliability of the mechanical system determine the
quality of the product, and whether small faults can be diagnosed in time is the key to …
quality of the product, and whether small faults can be diagnosed in time is the key to …
Role of artificial intelligence in rotor fault diagnosis: A comprehensive review
Artificial intelligence (AI)-based rotor fault diagnosis (RFD) poses a variety of challenges to
the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults …
the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults …
Semisupervised momentum prototype network for gearbox fault diagnosis under limited labeled samples
X Zhang, Z Su, X Hu, Y Han… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
It is difficult to obtain expensive labeled data in industrial fault diagnosis applications, which
easily leads to overfitting of deep learning and restricts its extensive usage. Aiming at this …
easily leads to overfitting of deep learning and restricts its extensive usage. Aiming at this …
Pelton wheel bucket fault diagnosis using improved shannon entropy and expectation maximization principal component analysis
G Vashishtha, R Kumar - Journal of Vibration Engineering & Technologies, 2022 - Springer
Background Pelton wheel works on Newton's law which converts the kinetic energy of fluid
into mechanical energy. Bearing, nozzle, servomotor and buckets are the main components …
into mechanical energy. Bearing, nozzle, servomotor and buckets are the main components …
Vibration-based fault diagnosis of broken impeller and mechanical seal failure in industrial mono-block centrifugal pumps using deep convolutional neural network
S Manikandan, K Duraivelu - Journal of Vibration Engineering & …, 2023 - Springer
Purpose Hydraulic pump failure results in a high rate of energy loss, performance
degradation, high vibration levels, and continuous noise emission. An unexpected pump …
degradation, high vibration levels, and continuous noise emission. An unexpected pump …
Deep learning algorithms for machinery health prognostics using time-series data: A review
Background An intelligent predictive health management paradigm for industrial machinery
is inevitable in Industry 4.0. The machinery health failure/degradation data acquired as time …
is inevitable in Industry 4.0. The machinery health failure/degradation data acquired as time …
A New Automated Classification Framework for Gear Fault Diagnosis Using Fourier–Bessel Domain-Based Empirical Wavelet Transform
Gears are the most important parts of a rotary system, and they are used for mechanical
power transmission. The health monitoring of such a system is needed to observe its …
power transmission. The health monitoring of such a system is needed to observe its …
A review on self-recovery regulation (SR) technique for unbalance vibration of high-end equipment
X Pan, J Lu, J Huo, J Gao, H Wu - Chinese Journal of Mechanical …, 2020 - Springer
The high-end equipment represented by high-end machine tools and aero-engines is the
core component of the national intelligent manufacturing plan, and the mass unbalance is …
core component of the national intelligent manufacturing plan, and the mass unbalance is …