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Artificial Intelligence Application in Machine Condition Monitoring and Fault Diagnosis [chapter]

Yasir Hassan Ali
2018 Artificial Intelligence - Emerging Trends and Applications  
The subject of machine condition monitoring and fault diagnosis as a part of system maintenance has gained a lot of interest due to the potential benefits to be learned from reduced maintenance budgets  ...  Artificial intelligence (AI) is a successful method of machine condition monitoring and fault diagnosis since these techniques are used as tools for routine maintenance.  ...  It surveys the articles with a keyword index machine condition monitoring and machine fault diagnosis using AE signal analysis and AI.  ... 
doi:10.5772/intechopen.74932 fatcat:wuz6jnad4vff7bln4blfv3kwzm

Selecting Measurement Paths for Efficient Network Monitoring and Diagnosis under Operational Constraints

Atsuo Tachibana, Shigehiro Ano, Masato Tsuru
2011 2011 Third International Conference on Intelligent Networking and Collaborative Systems  
From an ISP viewpoint, utilizing many users' PCs as a measurement infrastructure has a potential to greatly reduce deployment and maintenance costs while individual PCs may vary and are not always stable  ...  A user cooperative monitoring scheme is considered in which many but variable users' off-the-shelf PCs are involved as measurement end-point nodes (called beacons) to actively measure the performance of  ...  A relevant issue here is how to let many users cooperate in the measurement system.  ... 
doi:10.1109/incos.2011.147 dblp:conf/incos/TachibanaAT11 fatcat:3iycfua5hnbwtddiskhrdwvavu

Pseudo-sample based contribution plots: innovative tools for fault diagnosis in kernel-based batch process monitoring

Raffaele Vitale, Onno E. de Noord, Alberto Ferrer
2015 Chemometrics and Intelligent Laboratory Systems  
Abstract This article explores the potential of kernel-based methods for fault diagnosis in batch process monitoring by combining Kernel-Principal Component Analysis and three common techniques which permit  ...  Pseudo-sample based contribution plots: innovative tools for fault diagnosis in kernel-based batch process monitoring.  ...  and the DD plots enabled a correct fault diagnosis.  ... 
doi:10.1016/j.chemolab.2015.09.013 fatcat:uyu7iqmorbhzthifbgdaikxoqa

Intelligent Network Applications Monitoring and Diagnosis Employing Software Sensing and Machine Learning Solutions

Marius Minea, Cătălin Marian Dumitrescu, Viviana Laetitia Minea
2021 Sensors  
A case study, based on Davis AI engine operation versus human maintenance operation is performed on the efficiency of artificial intelligence agents in detecting faulty operation, in the context of growing  ...  The article presents a research in the field of complex sensing, detection, and recovery of communications networks applications and hardware, in case of failures, maloperations, or unauthorized intrusions  ...  a distributed intelligent fault management (DIFM) system for communications networks.  ... 
doi:10.3390/s21155036 fatcat:w3cjvr5mizat7lq3q5lrlxlewa

Intelligent Sensing Technologies for the Diagnosis, Monitoring and Therapy of Alzheimer's Disease: A Systematic Review

Nazia Gillani, Tughrul Arslan
2021 Sensors  
Results indicate two broad categories of intelligent technologies, distributed systems and self-contained devices.  ...  This study gives an overview of the depth and breadth of the efficacy as well as the limitations of these intelligent systems proposed for Alzheimer's.  ...  Below are listed a few shortcomings and suggestions for future research to make intelligent systems more effective for the diagnosis, monitoring and therapy for Alzheimer's disease.  ... 
doi:10.3390/s21124249 fatcat:unhq4r6j2zde7mcznt53tpgr3q

Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis

Wan Zhang, Min-Ping Jia, Lin Zhu, Xiao-An Yan
2017 Chinese Journal of Mechanical Engineering  
However, only few comprehensive reviews have summarized the ongoing efforts of computational intelligence in machinery condition monitoring and fault diagnosis.  ...  Computational intelligence is one of the most powerful data processing tools to solve complex nonlinear problems, and thus plays a significant role in intelligent fault diagnosis and prediction.  ...  Hence, the development of fast online condition monitoring and fault diagnosis systems based on computational intelligence should be the focus in future research.  ... 
doi:10.1007/s10033-017-0150-0 fatcat:7e7qq3xewzhqtdvb2np6q3ftv4

Acoustic Emission Signal Analysis and Artificial Intelligence Techniques in Machine Condition Monitoring and Fault Diagnosis: A Review

Yasir Hassan Ali, Roslan Abd Rahman, Raja Ishak Raja Hamzah
2014 Jurnal Teknologi  
This paper presents a review of recent literature in the field of acoustic emission signal analysis through artificial intelligence in machine conditioning monitoring and fault diagnosis.  ...  However, the use of Acoustic Emission signal analysis and artificial intelligence techniques for machine condition monitoring and fault diagnosis is still rare.  ...  It surveys the articles a keyword index machine condition monitoring and machine fault diagnosis using AE signal analysis and AI.  ... 
doi:10.11113/jt.v69.3121 fatcat:zi2tpwcpb5fttgxurtpuzeduzq

Medical cyber-physical systems: A survey

Nilanjan Dey, Amira S. Ashour, Fuqian Shi, Simon James Fong, João Manuel R. S. Tavares
2018 Journal of medical systems  
These systems are progressively used in hospitals to achieve a continuous high-quality healthcare.  ...  Medical cyber-physical systems (MCPS) are healthcare critical integration of a network of medical devices.  ...  lead to the replacement of the analog electromechanical devices/systems by a diverse array of modern medical devices that based on information technologies for patient monitoring, diagnosis and treatment  ... 
doi:10.1007/s10916-018-0921-x pmid:29525900 fatcat:wctzw4ilafgwjm5yrk53sl4ldy

Intelligent Video Systems and Analytics: A Survey

Honghai Liu, Shengyong Chen, Naoyuki Kubota
2013 IEEE Transactions on Industrial Informatics  
This paper provides a comprehensive account on theory and application of intelligent video systems and analytics. It highlights the video system architectures, tasks, and related analytic methods.  ...  Research directions are outlined with a focus on what is essential to achieve the goals of intelligent video systems and analytics.  ...  Intelligent Video Systems and Analytics: A Survey I.  ... 
doi:10.1109/tii.2013.2255616 fatcat:53jmubicdrgp7fg3w7zdipd3le

Predictive Maintenance Tools – A Global Survey

Joao Rodrigues, Jose Torres Farinha, Antonio Marques Cardoso
2021 WSEAS transactions on systems and control  
This paper focus on a global survey about predictive maintenance tools that support predictive maintenance, from the time series and decision trees until Artificial Intelligence.  ...  Additionally, it must be emphasized that some tools, that seem new are, in practice, old tools with new and powerful computational devices, assuming a new and strategic importance nowadays.  ...  There are many tools to aid diagnosis, since the classical FMEA until Expert Systems for fault diagnosis.  ... 
doi:10.37394/23203.2021.16.7 fatcat:iyxi5nxkfrcpfhrcznlqdlugq4

The Value of Artificial Intelligence Film Reading System Based on Deep Learning in the Diagnosis of Non-Small-Cell Lung Cancer and the Significance of Efficacy Monitoring: A Retrospective, Clinical, Nonrandomized, Controlled Study

Yunbing Chen, Xin Tian, Kai Fan, Yanni Zheng, Nannan Tian, Ka Fan, Min Tang
2022 Computational and Mathematical Methods in Medicine  
Meanwhile, the AI film reading system based on deep learning also has a certain guiding significance for the diagnosis and treatment monitoring of NSCLC.  ...  To explore the value of artificial intelligence (AI) film reading system based on deep learning in the diagnosis of non-small-cell lung cancer (NSCLC) and the significance of curative effect monitoring  ...  This study surveyed the value of AI film reading system based on deep learning in the diagnosis of NSCLC and the significance of curative effect monitoring.  ... 
doi:10.1155/2022/2864170 pmid:35360550 pmcid:PMC8964156 fatcat:pzrmm5uap5hvzcjlbf2xa3zja4

Cognitive assisted living ambient system: a survey

Ruijiao Li, Bowen Lu, Klaus D. McDonald-Maier
2015 Digital Communications and Networks  
The paper provides a review of research background and technologies of AAL.  ...  Information and Communication Technologies (ICT) provide various solutions to help older adults to improve their quality of life, stay healthier, and live independently for a time.  ...  Kameas and Calemis [34] have surveyed a collection of pervasive systems in supporting activities with health significance.  ... 
doi:10.1016/j.dcan.2015.10.003 fatcat:lavg35uzpveelg4ddlvii7ftky

A survey on self-healing systems: approaches and systems

Harald Psaier, Schahram Dustdar
2010 Computing  
In a final discussion, we summarize the approaches' common and individual characteristics. A comprehensive tabular overview of the researched material concludes the survey.  ...  Based on the principles of autonomic computing and self-adapting system research, we identify selfhealing systems' fundamental principles.  ...  Survey index and guide Embedded systems Embedded systems operate in special, constrained environments.  ... 
doi:10.1007/s00607-010-0107-y fatcat:bu6kxztswferrgelipkj4txlie

A survey on smart shoe insole systems

Salma Saidani, Rim Haddad, Neila Mezghani, Ridha Bouallegue
2018 2018 International Conference on Smart Communications and Networking (SmartNets)  
Nowadays, the foot pressure analyze using a wearable sensing systems becomes innovative in clinical and research fields to enable real time care of patients and to accelerate the detection of diseases.  ...  The shoe insole systems are classified according to the number and types of sensors. This paper can be a valuable source of recent references for future research in the field of smart insole systems.  ...  The aim of the smart insole system is to provide a remote surveillance for illness patient and enhance athletes' performances, through helping medical professionals in diagnosis and analysis.  ... 
doi:10.1109/smartnets.2018.8707391 dblp:conf/smartnets/SaidaniHMB18 fatcat:3ekkuk54krbtzjjbmxhwhsvbm4

A Survey of Predictive Maintenance: Systems, Purposes and Approaches [article]

Yongyi Ran, Xin Zhou, Pengfeng Lin, Yonggang Wen, Ruilong Deng
2019 arXiv   pre-print
In this survey, we first provide a high-level view of the PdM system architectures including the Open System Architecture for Condition Based Monitoring (OSA-CBM), cloud-enhanced PdM system and PdM 4.0  ...  Furthermore, we provide a review of the existing approaches for fault diagnosis and prognosis in PdM systems that include three major subcategories: knowledge based, traditional Machine Learning (ML) based  ...  [89] present an ontology for representing knowledge of an intelligent condition monitoring systems.  ... 
arXiv:1912.07383v1 fatcat:vjunlhidqra7baucyl42ss45iy
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