Fault diagnosis and self-healing for smart manufacturing: a review
Manufacturing systems are becoming more sophisticated and expensive, particularly with
the development of the intelligent industry. The complexity of the architecture and concept of …
the development of the intelligent industry. The complexity of the architecture and concept of …
Leak detection and localization in water distribution networks by combining expert knowledge and data-driven models
Leaks represent one of the most relevant faults in water distribution networks (WDN),
resulting in severe losses. Despite the growing research interest in critical infrastructure …
resulting in severe losses. Despite the growing research interest in critical infrastructure …
Identification of uncertainty and decision boundary for SVM classification training using belief function
J Hamidzadeh, S Moslemnejad - Applied Intelligence, 2019 - Springer
The existence of noisy samples increases the inefficiency of SVM training. In SVM training,
the classification hyperplane is determined by the support vectors, therefore, the other …
the classification hyperplane is determined by the support vectors, therefore, the other …
Fault diagnosis of manufacturing systems using data mining techniques
I Djelloul, Z Sari - 2018 5th International Conference on …, 2018 - ieeexplore.ieee.org
Fault is one of the main causes of failure, and the accurate diagnosis is one of the most
significant steps in fault treatment. This paper considers the diagnosis system to solve some …
significant steps in fault treatment. This paper considers the diagnosis system to solve some …
State Diagnosis of Elevator Control Transformer over Vibration Signal Based on MEA‐BP Neural Network
QH Song, QJ Song, L Xiao, HY Jiang… - Shock and Vibration, 2021 - Wiley Online Library
Vibration analysis is considered as an effective and reliable nondestructive technique for
monitoring the operation conditions of elevator control transformer. In the paper, a novel …
monitoring the operation conditions of elevator control transformer. In the paper, a novel …
A fault prediction model of adaptive fuzzy neural network for optimal membership function
B Zhang, L Zhang, B Zhang, B Yang, Y Zhao - IEEE Access, 2020 - ieeexplore.ieee.org
As an essential and challenging technology of fault prediction and health management
(PHM), fault prediction technology has been a research focus in the field of fault diagnosis …
(PHM), fault prediction technology has been a research focus in the field of fault diagnosis …
[Retracted] Neural Network Based on Health Monitoring Electrical Equipment Fault and Biomedical Diagnosis
X Zhang, Y Lyu - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
In order to improve the accuracy of electrical equipment failure diagnosis and keep electrical
equipment operating safely and efficiently, this paper proposes to design an electrical …
equipment operating safely and efficiently, this paper proposes to design an electrical …
Fault diagnosis based on the quality effect of learning algorithm for manufacturing systems
I Djelloul, Z Sari, IB Sidibe - … , Part I: Journal of Systems and …, 2019 - journals.sagepub.com
Fault diagnosis is becoming an important issue in industrial environment, and the accurate
diagnosis is the most significant part in fault handling. This article discusses a fault detection …
diagnosis is the most significant part in fault handling. This article discusses a fault detection …
A computer-aided tuning method for microwave filters by combing TS fuzzy neural networks and improved space mapping
S Wu, W Cao, C Liu, M Wu - Computer Modeling in …, 2018 - ingentaconnect.com
A computer-aided tuning method that combines TS fuzzy neural network (TS FNN) and
offers improved space mapping (SM) is presented in this study. This method consists of …
offers improved space mapping (SM) is presented in this study. This method consists of …
Comparative Simulation Analysis of the Performance of the Logistics Manufacturing System at the Operative Level
R Bucki, P Suchánek - Complexity, 2019 - Wiley Online Library
The article focuses on one of the current problems of manufacturing systems which consist
of individual machines equipped with dedicated tools that are replaced when they are worn …
of individual machines equipped with dedicated tools that are replaced when they are worn …