Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective

X Zhao, Y Fang, H Min, X Wu, W Wang… - Expert Systems with …, 2024 - Elsevier
Outstanding steps towards intelligent transportation systems with autonomous vehicles have
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …

Fault diagnosis and self-healing for smart manufacturing: a review

J Aldrini, I Chihi, L Sidhom - Journal of Intelligent Manufacturing, 2024 - Springer
Manufacturing systems are becoming more sophisticated and expensive, particularly with
the development of the intelligent industry. The complexity of the architecture and concept of …

Towards efficient and interpretative rolling bearing fault diagnosis via quadratic neural network With Bi-LSTM

Y Keshun, W Puzhou, G Yingkui - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the widespread application of deep learning in Internet of Things (IoT), remarkable
achievements have been made especially in rolling bearing fault diagnosis in rotating …

Knowledge embedded autoencoder network for harmonic drive fault diagnosis under few-shot industrial scenarios

J Chen, K Wen, J **a, R Huang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The development of Internet of Things technology provides abundant data resources for
prognostics health management of industrial machinery, and data-driven methods have …

Industrial edge intelligence: Federated-meta learning framework for few-shot fault diagnosis

J Chen, J Tang, W Li - IEEE Transactions on Network Science …, 2023 - ieeexplore.ieee.org
The scarcity of fault samples has been the bottleneck for the large-scale application of
mechanical fault diagnosis (FD) methods in the industrial Internet of Things (IIoT). Traditional …

A comprehensive survey on collaborative data-access enablers in the IIoT

D Sun, J Hu, H Wu, J Wu, J Yang, QZ Sheng… - ACM Computing …, 2023 - dl.acm.org
The scope of the Industrial Internet of Things (IIoT) has stretched beyond manufacturing to
include energy, healthcare, transportation, and all that tomorrow's smart cities will entail. The …

A comparative Analysis of the Mamdani and Sugeno Fuzzy Inference systems for MPPT of an ISlanded PV System

T Samavat, M Nazari, M Ghalehnoie… - … Journal of Energy …, 2023 - Wiley Online Library
With the maturation of nonlinear systems, considerable endeavors have been made to
provide valid and high‐speed controllers to supervise superior and more complex systems …

Anomaly diagnosis of connected autonomous vehicles: A survey

Y Fang, H Min, X Wu, W Wang, X Zhao… - Information …, 2024 - Elsevier
Connected autonomous vehicles (CAVs) are revolutionizing the development of
transportation due to their potential to improve transportation performance in many ways …

Advanced AIoT for failure classification of industrial diesel generators based hybrid deep learning CNN-BiLSTM algorithm

PN Thanh, MY Cho - Advanced Engineering Informatics, 2024 - Elsevier
Health diagnosis for rotating machines significantly contributes to improving safety and
reliability. This research studies an AIOT system for anomaly prognosis for diesel generators …

Artificial intelligence of things based approach for anomaly detection in rotating machines

T Mian, A Choudhary, S Fatima, BK Panigrahi - Computers and Electrical …, 2023 - Elsevier
In the present era of Industry 4.0, Artificial Intelligence (AI) and Internet of Things (IoT) are
revitalizing the predictive maintenance systems for industrial rotating machines through real …