A review on IGBT module failure modes and lifetime testing
A Abuelnaga, M Narimani, AS Bahman - IEEE access, 2021 - ieeexplore.ieee.org
This article focuses on failure modes and lifetime testing of IGBT modules being one of the
most vulnerable components in power electronic converters. IGBT modules have already …
most vulnerable components in power electronic converters. IGBT modules have already …
An overview of lifetime management of power electronic converters
An expected lifetime of converters is of great importance for optimal decision-making in the
planning of modern Power Electronic (PE) systems. Hence, the lifetime management of …
planning of modern Power Electronic (PE) systems. Hence, the lifetime management of …
[HTML][HTML] Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning
Autonomous systems are becoming ubiquitous and gaining momentum within the marine
sector. Since the electrification of transport is happening simultaneously, autonomous …
sector. Since the electrification of transport is happening simultaneously, autonomous …
Application of sensor data based predictive maintenance and artificial neural networks to enable Industry 4.0
JM Fordal, P Schjølberg, H Helgetun… - Advances in …, 2023 - Springer
Possessing an efficient production line relies heavily on the availability of the production
equipment. Thus, to ensure that the required function for critical equipment is in compliance …
equipment. Thus, to ensure that the required function for critical equipment is in compliance …
Artificial intelligence based prognostic maintenance of renewable energy systems: A review of techniques, challenges, and future research directions
Since the depletion of fossil fuels, the world has started to rely heavily on renewable sources
of energy. With every passing year, our dependency on renewable sources of energy is …
of energy. With every passing year, our dependency on renewable sources of energy is …
Fiber Bragg grating sensor-based temperature monitoring of solar photovoltaic panels using machine learning algorithms
S Dhanalakshmi, P Nandini, S Rakshit, P Rawat… - Optical fiber …, 2022 - Elsevier
Abstract Fiber Bragg Grating (FBG) sensors are an emerging and prominent optical sensing
technology of accurately measuring strain, depth, temperature, density, and several physical …
technology of accurately measuring strain, depth, temperature, density, and several physical …
Towards Physics-Informed Machine Learning-Based Predictive Maintenance for Power Converters–A Review
Predictive maintenance for power electronic converters has emerged as a critical area of
research and development. With the rapid advancements in deep-learning techniques, new …
research and development. With the rapid advancements in deep-learning techniques, new …
Two decades of condition monitoring methods for power devices
Condition monitoring (CM) of power semiconductor devices enhances converter reliability
and customer service. Many studies have investigated the semiconductor devices failure …
and customer service. Many studies have investigated the semiconductor devices failure …
Performance evaluation for tool wear prediction based on Bi-directional, Encoder–Decoder and Hybrid Long Short-Term Memory models
Purpose Excessive tool wear is responsible for damage or breakage of the tool, workpiece,
or machining center. Thus, it is crucial to examine tool conditions during the machining …
or machining center. Thus, it is crucial to examine tool conditions during the machining …
A remaining useful life prediction method of aluminum electrolytic capacitor based on wiener process and similarity measurement
J Zhao, Y Zhou, Q Zhu, Y Song, Y Liu, H Luo - Microelectronics Reliability, 2023 - Elsevier
Complex characteristics such as non-linearity and multi-stage are usually presented during
the degradation process of aluminum electrolytic capacitors (AECs). Therefore, it is difficult …
the degradation process of aluminum electrolytic capacitors (AECs). Therefore, it is difficult …