Edge computing on IoT for machine signal processing and fault diagnosis: A review
Edge computing is an emerging paradigm that offloads the computations and analytics
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …
Analysis of safety and security challenges and opportunities related to cyber-physical systems
A cyber-physical system (CPS) is an interconnected physical system that can be monitored,
controlled, and operated remotely. A systems-based analysis of CPS is critical for enhancing …
controlled, and operated remotely. A systems-based analysis of CPS is critical for enhancing …
Data-driven early fault diagnostic methodology of permanent magnet synchronous motor
Permanent magnet synchronous motor (PMSM) is one of the common core power
components in modern industrial systems. Early fault diagnosis can avoid major accidents …
components in modern industrial systems. Early fault diagnosis can avoid major accidents …
Few-shot cross-domain fault diagnosis of bearing driven by task-supervised ANIL
Meta-learning has effectively addressed the limit of deep learning fault diagnosis models
that demands a large number of samples. However, existing meta-learning models lack the …
that demands a large number of samples. However, existing meta-learning models lack the …
A machine-learning architecture for sensor fault detection, isolation, and accommodation in digital twins
Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time
raw data into digital twins (DTs). However, sensors might be unreliable due to inherent …
raw data into digital twins (DTs). However, sensors might be unreliable due to inherent …
Adaptive privacy-preserving federated learning for fault diagnosis in internet of ships
Z Zhang, C Guan, H Chen, X Yang… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The recent appearance of Internet of Things (IoT) technologies applied in the maritime
industry has introduced the Internet of Ships (IoS) paradigm. By leveraging IoS and deep …
industry has introduced the Internet of Ships (IoS) paradigm. By leveraging IoS and deep …
A compressed sensing and CNN‐based method for fault diagnosis of photovoltaic inverters in edge computing scenarios
X Wang, B Yang, Z Wang, Q Liu… - IET Renewable …, 2022 - Wiley Online Library
Accurate and real‐time diagnosis of the inverter is crucial for the reliability, safety and
generation efficiency of the photovoltaic (PV) system. Recently, deep learning (DL) is widely …
generation efficiency of the photovoltaic (PV) system. Recently, deep learning (DL) is widely …
One-shot learning for acoustic diagnosis of industrial machines
S Ntalampiras - Expert Systems with Applications, 2021 - Elsevier
Automatic acoustic monitoring of machine health comprises a relevant field as,
unfortunately, such equipment often suffers from faults, malfunctions, aging effects, etc …
unfortunately, such equipment often suffers from faults, malfunctions, aging effects, etc …
A privacy-preserving resource trading scheme for Cloud Manufacturing with edge-PLCs in IIoT
With the development of industrial Internet of things (IIoT), Cloud Manufacturing has been
increasingly popular to the manufacturing industry. It can provide resource-sharing and on …
increasingly popular to the manufacturing industry. It can provide resource-sharing and on …
Real-time quality inspection of motor rotor using cost-effective intelligent edge system
Induction motors (IMs) are used extensively as driving actuators in electric vehicles. Motor
rotors are prone to defects in the die casting procedure, which can significantly reduce the …
rotors are prone to defects in the die casting procedure, which can significantly reduce the …