An overview of artificial intelligence applications for power electronics

S Zhao, F Blaabjerg, H Wang - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
This article gives an overview of the artificial intelligence (AI) applications for power
electronic systems. The three distinctive life-cycle phases, design, control, and maintenance …

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach: A review of two decades of research

S Gawde, S Patil, S Kumar, P Kamat, K Kotecha… - … Applications of Artificial …, 2023 - Elsevier
Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …

KSPMI: a knowledge-based system for predictive maintenance in industry 4.0

Q Cao, C Zanni-Merk, A Samet, C Reich… - Robotics and Computer …, 2022 - Elsevier
In the context of Industry 4.0, smart factories use advanced sensing and data analytic
technologies to understand and monitor the manufacturing processes. To enhance …

Review of hybrid prognostics approaches for remaining useful life prediction of engineered systems, and an application to battery life prediction

L Liao, F Köttig - IEEE Transactions on Reliability, 2014 - ieeexplore.ieee.org
Prognostics focuses on predicting the future performance of a system, specifically the time at
which the system no long performs its desired functionality, its time to failure. As an important …

Prognostics and health management of engineering systems

NH Kim, D An, JH Choi - Switzerland: Springer International Publishing, 2017 - Springer
A good maintenance strategy is essential to keep complex engineering systems safe.
Historically, maintenance has evolved from post-failure repair to preventive maintenance to …

Overview of real-time lifetime prediction and extension for SiC power converters

Z Ni, X Lyu, OP Yadav, BN Singh… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Remaining useful lifetime prediction and extension of Si power devices have been studied
extensively. Silicon carbide (SiC) power devices have been developed and commercialized …

State of the art and taxonomy of prognostics approaches, trends of prognostics applications and open issues towards maturity at different technology readiness levels

K Javed, R Gouriveau, N Zerhouni - Mechanical Systems and Signal …, 2017 - Elsevier
Integrating prognostics to a real application requires a certain maturity level and for this
reason there is a lack of success stories about development of a complete Prognostics and …

A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion

S Gawde, S Patil, S Kumar, K Kotecha - Artificial Intelligence Review, 2023 - Springer
Rotating machines is an essential part of any manufacturing industry. The sudden
breakdown of such machines due to improper maintenance can also lead to the industries' …

Time-series classification in smart manufacturing systems: An experimental evaluation of state-of-the-art machine learning algorithms

MA Farahani, MR McCormick, R Harik… - Robotics and Computer …, 2025 - Elsevier
Manufacturing is transformed towards smart manufacturing, entering a new data-driven era
fueled by digital technologies. The resulting Smart Manufacturing Systems (SMS) gather …

Remaining Useful Lifetime Estimation for Thermally Stressed Power MOSFETs Based on on-State Resistance Variation

S Dusmez, H Duran, B Akin - IEEE Transactions on Industry …, 2016 - ieeexplore.ieee.org
The research on noninvasive incipient fault diagnosis of power converters is very critical to
avoid strenuous periodic check-ups and costly interruptions. Thermal cycling is one of the …