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Finding faults: A scoping study of fault diagnostics for Industrial Cyber-Physical Systems

Barry Dowdeswell, Roopak Sinha, Stephen MacDonell
2020 Journal of Systems and Software  
We created categories for the different diagnostic approaches via a pilot study and present an analysis of the trends that emerged.  ...  Context: As Industrial Cyber-Physical Systems (ICPS) become more connected and widely-distributed, often operating in safety-critical environments, we require innovative approaches to detect and diagnose  ...  This starting period for the search was chosen since it coincides with the emergence of the term Cyber-Physical System.  ... 
doi:10.1016/j.jss.2020.110638 fatcat:5gdzvwpzcbaxhi3cocty2pafza

Architecting an Agent-Based Fault Diagnosis Engine for IEC 61499 Industrial Cyber-Physical Systems

Barry Dowdeswell, Roopak Sinha, Stephen G. MacDonell
2021 Future Internet  
IEC 61499 is a reference architecture for constructing Industrial Cyber-Physical Systems (ICPS).  ...  There is a need for comprehensive diagnostic tools that help engineers identify faults, both during development and after deployment.  ...  A scoping survey on industrial-scale fault diagnostics for ICPS was published before the architectural design commenced [9] .  ... 
doi:10.3390/fi13080190 fatcat:rvip3k6y6vdxjj3hoc2yrqzwdq

Fault diagnosis for space utilisation

Yuanyuan Sun, Lili Guo, Yongming Wang, Zhongsong Ma, Yi Niu
2019 The Journal of Engineering  
Aiming at the fault diagnosis task for space utilisation, the intelligent methods of deep learning including deep belief network, convolutional neural network and generative adversarial network are discussed  ...  In the past 20 years, >50 space application studies have been carried out in Chinese manned space flight application system, >500 units have been involved in the previous flight missions, and fruitful  ...  The unconventional attack, including cyber attacks and even physical destruction, can lead to malicious fault.  ... 
doi:10.1049/joe.2018.9102 fatcat:5q2zvc2tcjamzam75amc6hkvre

Cyber Attacks and Faults Discrimination in Intelligent Electronic Device-Based Energy Management Systems

B. M. Ruhul Amin, M. J. Hossain, Adnan Anwar, Shafquat Zaman
2021 Electronics  
Furthermore, the impacts of natural disturbances such as faults on the system are considered, and the research work is extended to distinguish between cyber attacks and faults by using state-of-the-art  ...  , precision, recall, and f-measure are analyzed for different case scenarios on the IEEE benchmark 14-bus system.  ...  Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/electronics10060650 fatcat:4ipybhesjbflxotna5g4xh3plq

Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects

Angelos Angelopoulos, Emmanouel T. Michailidis, Nikolaos Nomikos, Panagiotis Trakadas, Antonis Hatziefremidis, Stamatis Voliotis, Theodore Zahariadis
2019 Sensors  
In addition, as faults might also occur from sources beyond machine degradation, the potential of ML in safeguarding cyber-security is thoroughly discussed.  ...  Moreover, a major concern in the Industry 4.0 ecosystem is the role of human operators and workers.  ...  In a different setting, fault detection for computer-based assembly lines of the automotive industry was studied in Reference [59] .  ... 
doi:10.3390/s20010109 pmid:31878065 pmcid:PMC6983262 fatcat:n4muoguq5jalrfwqkq4264vswe

Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification [article]

Pasquale Antonante, Heath Nilsen, Luca Carlone
2022 arXiv   pre-print
In this paper, we formalize the problem of runtime fault detection and identification in perception systems and present a framework to model diagnostic information using a diagnostic graph.  ...  We then provide a set of deterministic, probabilistic, and learning-based algorithms that use diagnostic graphs to perform fault detection and identification.  ...  For the probabilistic case, we transform a diagnostic graph into a factor graph and perform inference to find the set of faulty modules.  ... 
arXiv:2205.10906v1 fatcat:qrfjohpx4rglhdh5xdcsbavnwy

Physics-driven Page Fault Handling for Customized Deception against CPS Malware

Julian L. Rrushi
2022 ACM Transactions on Embedded Computing Systems  
Malware crafted to attack cyber-physical systems (CPS) such as the electrical power grid have a physics-centric nucleus.  ...  The physics data of reference pertain to an electrical substation, with a higher focus on a power transformer and related industrial computer algorithms.  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation thereon.  ... 
doi:10.1145/3502742 fatcat:vfphy2wsnbetxcgco5cos53vk4

Hierarchical Reasoning about Faults in Cyber-Physical Energy Systems using Temporal Causal Diagrams

Ajay D Chhokra, Nagabhushan Mahadevan, Abhishek Dubey, Saqib Hasan, Daniel Balasubramanian, Gabor Karsai
2020 International Journal of Prognostics and Health Management  
We use the case study of the standard Western System Coordinating Council (WSCC) 9 bus system to describe four different fault scenarios and illustrate how our approach can help isolate these failures.  ...  Our work presented in this paper is geared towards solution of this problem by describing the formalism of Temporal Causal Diagrams (TCD-s) that augment the failure models for the physical systems with  ...  We are using single physical fault hypothesis which lists only one fault per element of the physical system along with multiple faults in protection system. • S ⊆ F cyber is a set of faults active in the  ... 
doi:10.36001/ijphm.2018.v9i1.2669 fatcat:h2dufuvr25acbkozwjdcbjbgja

Digital Twin for Training Bayesian Networks for Fault Diagnostics of Manufacturing Systems

Toyosi Ademujimi, Vittaldas Prabhu
2022 Sensors  
Specifically, the co-simulation model is engineered by using cyberphysical system (CPS) consisting of networked sensors, high-fidelity simulation model of each equipment, and a detailed discrete-event  ...  The resulting DT was used to carry out interventions to learn a BN model structure for fault diagnostics.  ...  high-fidelity fault modeling in a DT model; and (iii) utilization of a DT model for training of BN model for diagnostics of multilevel faults in manufacturing systems.  ... 
doi:10.3390/s22041430 pmid:35214332 pmcid:PMC8874643 fatcat:5jpdorb6vzcwvlsipmd2j6fzs4

Knowledge elicitation for fault diagnostics in plastic injection moulding: A case for machine-to-machine communication

Rok Vrabič, Dominik Kozjek, Peter Butala
2017 CIRP annals  
For this reason, fault diagnostics is faced with extremely imbalanced data sets and requires large volumes of data to achieve a reasonable performance.  ...  Sometimes, only a few parts per million are defective because of a faulty process.  ...  Acknowledgement This work was partially supported by the Ministry of Higher Education, Science and Technology of the Republic of Slovenia, grants no. 1000-15-0510 and C3330-16-529000, and by the Slovenian  ... 
doi:10.1016/j.cirp.2017.04.001 fatcat:jgpqzg5fjbgpzao5dsiqnkvzpe

A fault diagnosis system for interdependent critical infrastructures based on HMMs

Stavros Ntalampiras, Yannis Soupionis, Georgios Giannopoulos
2015 Reliability Engineering & System Safety  
Our study includes an energy network (IEEE 30 model bus) operated via a telecommunications infrastructure.  ...  This paper proposes a probabilistic modeling scheme for analyzing malicious events appearing in interdependent critical infrastructures.  ...  Attacks on the cyber part of a Cyber-Physical (C-P) system can produce effects ranging from sporadic disruptions of field devices (sensors and actuators) to large scale outages or even loss of control  ... 
doi:10.1016/j.ress.2015.01.024 fatcat:hniknwrscfa3neq4jaied7y7qa

Fusion-Based Online Identification Technique for Pneumatic Actuator Faults

Bhagya R Navada, Centre for Cyber-Physical System, Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India., Santhosh Venkata, Centre for Cyber-Physical System, Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.
2021 Engineered Science  
The decision fusion is performed using a fuzzy-based inference system to detect and identify the severity of fault into low, medium, and high faults.  ...  with a detection ratio of 93.75%.  ...  [20] have reported the application of a data fusion algorithm in the cyber-physical system.  ... 
doi:10.30919/es8d533 fatcat:jcfe4bhmengcjj72m6j5ev5gf4

Graph neural network-based fault diagnosis: a review [article]

Zhiwen Chen, Jiamin Xu, Cesare Alippi, Steven X. Ding, Yuri Shardt, Tao Peng, Chunhua Yang
2021 arXiv   pre-print
In this review, an easy introduction to GNN, potential applications to the field of fault diagnosis, and future perspectives are given.  ...  Third, the most relevant fault diagnosis methods based on GNN are validated through the detailed experiments, and conclusions are made that the GNN-based methods can achieve good fault diagnosis performance  ...  : A Learning graph-based framework for cyber-physical systems".  ... 
arXiv:2111.08185v1 fatcat:sf3tlda7rnbmnpayz3aqggar7a

Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng Chen, Shibin Wang, Baijie Qiao, Qiang Chen
2017 Frontiers of Mechanical Engineering  
The review discusses the special contributions of Chinese scholars to machinery fault diagnostics.  ...  On the basis of the review of basic theory of machinery fault diagnosis and its practical applications in engineering, the paper concludes with a brief discussion on the future trends and challenges in  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/ licenses/by/4.0/), which permits unrestricted use, distribution  ... 
doi:10.1007/s11465-018-0472-3 fatcat:xngm4jcct5berhuf33rqoxfc6i

Cell Fault Management using Machine Learning Techniques

David Mulvey, Chuan Heng Foh, Muhammad Ali Imran, Rahim Tafazolli
2019 IEEE Access  
We identify a series of research topics for further study in order to achieve this.  ...  We discuss forthcoming changes in network architecture which are likely to impact fault management and offer a vision of how fault management systems can exploit deep learning in the future.  ...  ACKNOWLEDGMENT The authors would like to acknowledge the support of members of the University of Surrey 5GIC (http://www.surrey.ac. uk/5gic) for this work.  ... 
doi:10.1109/access.2019.2938410 fatcat:3ek42mndevfjjallpda7hyh3ta
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