Journal ArticleDOI
Bayesian Networks in Fault Diagnosis
Baoping Cai,Huang Lei,Min Xie +2 more
Reads0
Chats0
TLDR
Current gaps and challenges on use of BNs in fault diagnosis in the last decades with focus on engineering systems are explored and several directions for future research are explored.Abstract:
Fault diagnosis is useful in helping technicians detect, isolate, and identify faults, and troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals with various uncertainty problems. This model is increasingly utilized in fault diagnosis. This paper presents bibliographical review on use of BNs in fault diagnosis in the last decades with focus on engineering systems. This work also presents general procedure of fault diagnosis modeling with BNs; processes include BN structure modeling, BN parameter modeling, BN inference, fault identification, validation, and verification. The paper provides series of classification schemes for BNs for fault diagnosis, BNs combined with other techniques, and domain of fault diagnosis with BN. This study finally explores current gaps and challenges and several directions for future research.read more
Citations
More filters
Journal ArticleDOI
LM-CNN: A Cloud-Edge Collaborative Method for Adaptive Fault Diagnosis With Label Sampling Space Enlarging
TL;DR: Wang et al. as mentioned in this paper proposed a cloud-edge collaborative method for adaptive fault diagnosis with label sampling space enlarging, named label-split multiple-inputs convolutional neural network, in cloud manufacturing.
Journal ArticleDOI
A quadri-dimensional approach for poor performance prioritization in mobile networks using Big Data
TL;DR: A quadri-dimensional approach to build a service quality management (SQM) tree in a Big Data platform will allow CSPs to detect the mobile network dimensions causing network issues in a faster way and protect their revenue while improving the quality of the service delivered.
Book ChapterDOI
Engineering systems' fault diagnosis methods
Gilberto Francisco Martha de Souza,Adherbal Caminada Netto,Arthur Henrique de Andrade Melani,Miguel Angelo de Carvalho Michalski,Renan Favarão da Silva +4 more
TL;DR: In this paper , the authors focus on fault diagnosis, a reasoning process that has gained the attention of operators and maintainers of engineering systems due to its ability to assist in maintenance management decision-making.
Journal ArticleDOI
Immunity Inspired Hybrid Fault Diagnosis and Conflict Resolution
TL;DR: In this paper , a hybrid fault diagnosis (FD) method for industrial machines is presented, which considers the traits of reliable information from models and multidomain features of signals, and optimally incorporates the capabilities of intelligent processing techniques.
Journal ArticleDOI
Fault Prediction of Online Power Metering Equipment Based on Hierarchical Bayesian Network
TL;DR: This paper proposes a online power measuring equipment fault evaluation method based on Weibull parameter hierarchical Bayesian model that is verified by the failure samples of the online measurement equipment in three typical environmental areas.
References
More filters
Book
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
TL;DR: Probabilistic Reasoning in Intelligent Systems as mentioned in this paper is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty, and provides a coherent explication of probability as a language for reasoning with partial belief.
Book
Bayesian networks and decision graphs
TL;DR: The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams, and presents a thorough introduction to state-of-the-art solution and analysis algorithms.
Journal Article
Big data: the management revolution.
Andrew McAfee,Erik Brynjolfsson +1 more
TL;DR: Big data, the authors write, is far more powerful than the analytics of the past, and executives can measure and therefore manage more precisely than ever before, and make better predictions and smarter decisions.
Journal ArticleDOI
A Review of Process Fault Detection and Diagnosis Part I : Quantitative Model-Based Methods
TL;DR: This three part series of papers is to provide a systematic and comparative study of various diagnostic methods from different perspectives and broadly classify fault diagnosis methods into three general categories and review them in three parts.
Journal ArticleDOI
A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
TL;DR: The three-part survey paper aims to give a comprehensive review of real-time fault diagnosis and fault-tolerant control, with particular attention on the results reported in the last decade.