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2018 International Journal of Mechatronics and Applied Mechanics  
In the decision fusion diagnosis based on evidence theory, the integrated local fusion results were integrated to realize the decision fusion of the fault information.  ...  It provides an effective way and method for the research of fault diagnosis of transmission and transformation equipment.  ...  The fusion and diagnosis of fault information decision based on evidence theory is a comprehensive consideration of the results of each local fusion.  ... 
doi:10.17683/ijomam/issue3.30 fatcat:una4sxzkljdrvk75sgjsf4vwqy

Multi-sensor information fusion for fault detection in aircraft gas turbine engines

Soumik Sarkar, Soumalya Sarkar, Kushal Mukherjee, Asok Ray, Abhishek Srivastav
2012 Proceedings of the Institution of Mechanical Engineers. Part G, Journal of Aerospace Engineering  
The article addresses data-driven fault detection in commercial aircraft gas turbine engines in the framework of multisensor information fusion and symbolic dynamic filtering.  ...  The hierarchical decision and control structure, adopted in this article, involves construction of composite patterns, namely, atomic patterns extracted from single sensors, and relational patterns representing  ...  Any opinions, findings and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the sponsoring agencies.  ... 
doi:10.1177/0954410012468391 fatcat:7jkkkkkixjfmri3grt2fxuzyva

A Novel Mittag-Leffler Kernel Based Hybrid Fault Diagnosis Method for Wheeled Robot Driving System

Xianfeng Yuan, Mumin Song, Fengyu Zhou, Zhumin Chen, Yan Li
2015 Computational Intelligence and Neuroscience  
Experimental results show that the proposed framework not only is capable of detecting and identifying the faults in the robot driving system, but also has better performance in stability and diagnosis  ...  To improve the safety and reliability of wheeled robots, this paper presents a novel hybrid fault diagnosis framework based on Mittag-Leffler kernel (ML-kernel) support vector machine (SVM) and Dempster-Shafer  ...  Acknowledgments This work is supported by the National Natural Science Foundation of China (61375084, 61374101) and the Fundamental Research Funds of Shandong University (2014JC034).  ... 
doi:10.1155/2015/606734 pmid:26229526 pmcid:PMC4504124 fatcat:rezv4fjxhjalhh2dgdw4hngfxa

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  
In this work, an attempt is made to detect and diagnose two pneumatic actuator faults, stem displacement fault and insufficient supply pressure fault using a decision fusion process.  ...  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.  ...  [16] highlighted a decision fusion strategy for the detection and diagnosis of fault using the Bayesian network.  ... 
doi:10.30919/es8d533 fatcat:jcfe4bhmengcjj72m6j5ev5gf4

Multi-Sensor GA-BP Algorithm Based Gearbox Fault Diagnosis

Yuan Fu, Yu Liu, Yan Yang
2022 Applied Sciences  
In addition, the final fault identification of the gearbox can be achieved by using the DS evidence theory and the multi-sensor local diagnosis results obtained by the GA-BP algorithm for decision fusion  ...  To address the problem of the low recognition rate of time-frequency domain methods gearbox fault identification, a method featuring decision-level fusion of DS evidence theory and GA-BP algorithm was  ...  Finally, the authors want to thank the editors and reviewers for their valuable comments and constructive suggestions.  ... 
doi:10.3390/app12063106 fatcat:f7wir4nwvfah7cpsmomoextyga

An Adaptive Industrial Control Equipment Safety Fault Diagnosis Method in Industrial Internet of Things

Hanrui Zhang, Qianmu Li, Shunmei Meng, Zhuoran Xu, Chaoxian Lv, jingyu feng
2021 Security and Communication Networks  
Aiming at the problem, this paper proposes a fault diagnosis model based on ensemble learning and proposes a method of updating voting weights based on dynamic programming to assist decision-making.  ...  It is very meaningful to detect and identify potential equipment abnormalities and failures in time and implement effective fault tolerance strategies.  ...  [4] built up on the ideas of inference-based ambiguity management in the setting of decentralized control and developed a framework for inference-based decentralized diagnosis. Guan et al.  ... 
doi:10.1155/2021/5562275 fatcat:tdoxs7kqrbgk5iwn22i3gqbp6u

Improving Rolling Bearing Fault Diagnosis by DS Evidence Theory Based Fusion Model

Xuemei Yao, Shaobo Li, Jianjun Hu
2017 Journal of Sensors  
This work presents a novel algorithm fusion model based on principal component analysis and Dempster-Shafer evidence theory for rolling bearing fault diagnosis.  ...  While dozens of methods have been proposed for real-time bearing fault diagnosis and monitoring, the fault classification accuracy of existing algorithms is still not satisfactory.  ...  In recent years, it has attracted significant attention for its wide application in fault diagnosis. Generally, data fusion can be conducted at three levels. The first is data-level fusion [31] .  ... 
doi:10.1155/2017/6737295 fatcat:etkrtyepgnelvm37xfkfnkrdci

Tiered architecture for on-line detection, isolation and repair of faults in wireless sensor networks

Sadaf Zahedi, Marcin Szczodrak, Ping Ji, Dinkar Mylaraswamy, Mani Srivastava, Robert Young
2008 MILCOM 2008 - 2008 IEEE Military Communications Conference  
We describe a two-tiered system for on-line detection of sensor faults.  ...  In turn, the global tier uses these notifications on the one hand during fusion for more robust estimation of physical world events of interest to the user, and on the other hand for consistency checking  ...  In our framework, this module provides the appropriate x 0 for all sensors for the next cycle of fault detection.  ... 
doi:10.1109/milcom.2008.4753634 fatcat:l7de7e6icvc5jcqqriqhb3dlxq

A Review of Information Fusion Methods for Gas Turbine Diagnostics

Valentina Zaccaria, Moksadur Rahman, Ioanna Aslanidou, Konstantinos Kyprianidis
2019 Sustainability  
Detecting and isolating faults in a system is a complex problem with many uncertainties, including the integrity of available information.  ...  The correct and early detection of incipient faults or severe degradation phenomena in gas turbine systems is essential for safe and cost-effective operations.  ...  A generalized architecture for a health management fusion system was proposed in Reference [80] , where a BBN constituted the deeper decision level of information fusion, and its conditional probabilities  ... 
doi:10.3390/su11226202 fatcat:kry6gcqnobbtdeuti4kezied7y

Study of Fault Diagnosis of Integrate of D-S Evidence Theory Based on Neural Network for Turbine

Chunmei Xu, Hao Zhang, Daogang Peng, Yezi Yu, Chunmei Xu, Hao Zhang
2012 Energy Procedia  
In this method, preliminary diagnosis of fault information with BP and RBF network constitute the initial diagnosis layer; then, the each result of preliminary diagnosis as a body of evidence are fused  ...  A fault diagnosis method of integrate of D-S evidential theory based on neural network was presented for turbine.  ...  The authors are grateful for the anonymous reviewers who made constructive comments.  ... 
doi:10.1016/j.egypro.2012.01.308 fatcat:dutd6af575eibi45flmlfmxkh4

Dynamic fusion of classifiers for fault diagnosis

Satnam Singh, Kihoon Choi, Anuradha Kodali, Krishna R. Pattipati, Setu Madhavi Namburu, Shunsuke Chigusa, Danil V. Prokhorov, Liu Qiao
2007 2007 IEEE International Conference on Systems, Man and Cybernetics  
to transform the multiclass data into binary classification, (3) fault detection using pattern recognition techniques (support vector machines in this paper), and (4) dynamic fusion of classifiers output  ...  Here, we discuss dynamic fusion of classifiers which is a special case of the dynamic multiple fault diagnosis (DMFD) problem [1]-[3].  ...  The ECC matrix provides a flexible and robust framework for combining the classifiers.  ... 
doi:10.1109/icsmc.2007.4414167 dblp:conf/smc/SinghCKPNCPQ07 fatcat:kivld7nhfnex3pkaoy7wdhgmr4

Research on Diagnosis of AC Engine Wear Fault Based on Support Vector Machine and Information Fusion

Lei Zhang, Yanfei Dong
2012 Journal of Computers  
And then, use D-S evidence theory to make information fusion over result for a single diagnosis item so as to make fault diagnosis.  ...  The result shows that in comparison with conventional methods, the combination of SVM and information fusion technology is fast and effective, suitable for diagnosis of AC engine wear fault.  ...  In this way, relatively weak diagnosis decision will support relatively strong diagnosis decision in a more effective way, and such issues as diversification and multiple classes of information in practical  ... 
doi:10.4304/jcp.7.9.2292-2297 fatcat:3a72vyqzf5blhfu2cpxtb3tfuu

A Novel Data Hierarchical Fusion Method for Gas Turbine Engine Performance Fault Diagnosis

Feng Lu, Chunyu Jiang, Jinquan Huang, Yafan Wang, Chengxin You
2016 Energies  
The hierarchical fusion framework is evaluated in terms to fault diagnosis accuracy and robustness through a case study involving fault mode dataset of a turbofan engine that is generated by the general  ...  The characteristics and advantages of two evidences are analyzed and used as guidelines for data hierarchical fusion framework.  ...  A fuzzy-based method in feature-level fusion is presented for gas turbine fault detection and identification [38] .  ... 
doi:10.3390/en9100828 fatcat:odtkzikwqzcphdahb6ggf42nra

A Multimodel Decision Fusion Method Based on DCNN-IDST for Fault Diagnosis of Rolling Bearing

Weixiao Xu, Luyang Jing, Jiwen Tan, Lianchen Dou, Zhixiong Li
2020 Shock and Vibration  
The optimal fusion level is usually challenging to be selected for a specific fault diagnosis task, and extensive human labour and prior knowledge are also highly required during these selections.  ...  The result demonstrates that the proposed method can detect the fault of the rolling bearing effectively and achieve the highest diagnosis accuracy among all the tested methods in the experiment.  ...  decision fusion method based on DCNN-IDST for fault diagnosis of rolling bearing.  ... 
doi:10.1155/2020/8856818 fatcat:5ie2qvccyvbdziq7rwbcg6cbhi

Combining Quantitative and Qualitative Models with Active Observations for better Diagnoses of Autonomous Mobile Robots

Gerald Steinbauer, Franz Wotawa
2007 2007 Fifth Workshop on Intelligent Solutions in Embedded Systems  
Both groups of methods have advantages and drawbacks in respect to fault diagnosis.  ...  Quantitative and qualitative models and reasoning methods for diagnosis are able to cover a wide range of divers properties of a system.  ...  Introduction Model-based diagnosis has been successfully applied to automated fault detection and localization in a wide range of different domains.  ... 
doi:10.1109/wises.2007.4408508 dblp:conf/wises/SteinbauerW07 fatcat:oeogceie7zf2tajr5wxqz4ggvm
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