Advances in prognostics and health management for aircraft landing gear—progress, challenges, and future possibilities
Prognostics and health management (PHM) has developed into a crucial discipline because
of its never-ending pursuit of safety, effectiveness, and dependability. The aircraft Landing …
of its never-ending pursuit of safety, effectiveness, and dependability. The aircraft Landing …
Prognostics and health management of rotating machinery of industrial robot with deep learning applications—A review
The availability of computational power in the domain of Prognostics and Health
Management (PHM) with deep learning (DL) applications has attracted researchers …
Management (PHM) with deep learning (DL) applications has attracted researchers …
Deep learning-based fault diagnosis of servo motor bearing using the attention-guided feature aggregation network
This paper introduces a novel approach to fault detection in the servo motor bearings of
industrial robots within the context of Industry 4.0 prognostics and health management. The …
industrial robots within the context of Industry 4.0 prognostics and health management. The …
Sensor-based prognostic health management of advanced driver assistance system for autonomous vehicles: A recent survey
Recently, the advanced driver assistance system (ADAS) of autonomous vehicles (AVs) has
offered substantial benefits to drivers. Improvement of passenger safety is one of the key …
offered substantial benefits to drivers. Improvement of passenger safety is one of the key …
Intelligent structural health monitoring of composite structures using machine learning, deep learning, and transfer learning: a review
Structural health monitoring (SHM) methods are essential to guarantee the safety and
integrity of composite structures, which are extensively utilized in aerospace, automobile …
integrity of composite structures, which are extensively utilized in aerospace, automobile …
[HTML][HTML] Multiple faults diagnosis for an industrial robot fuse quality test bench using deep-learning
Diagnosing faults occurring in industrial equipment and monitoring its status is crucial for
maintaining the continuous operation of the equipment. The conventional diagnostic …
maintaining the continuous operation of the equipment. The conventional diagnostic …
Prognostic health management of the robotic strain wave gear reducer based on variable speed of operation: A data-driven via deep learning approach
The robotic reducer is prone to failure because of its unique characteristics. Data from
vibration and acoustic emission sensors have been used for the prognostics of the reducer …
vibration and acoustic emission sensors have been used for the prognostics of the reducer …
Deep transfer learning framework for bearing fault detection in motors
The domain of fault detection has seen tremendous growth in recent years. Because of the
growing demand for uninterrupted operations in different sectors, prognostics and health …
growing demand for uninterrupted operations in different sectors, prognostics and health …
[HTML][HTML] Autonomous data-driven delamination detection in laminated composites with limited and imbalanced data
MM Azad, S Kim, HS Kim - Alexandria Engineering Journal, 2024 - Elsevier
This study addresses the challenges of data scarcity and class imbalance in structural health
monitoring (SHM) of composite structures. Data-driven SHM techniques that benefit from …
monitoring (SHM) of composite structures. Data-driven SHM techniques that benefit from …
Prognostics and health management of the robotic servo-motor under variable operating conditions
A robot is essential in many industrial and manufacturing facilities due to its efficiency,
accuracy, and durability. However, continuous use of the robotic system can result in various …
accuracy, and durability. However, continuous use of the robotic system can result in various …