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Selecting the Best Units in a Fleet: Performance Prediction from Equipment Peers [chapter]

Anil Varma, Kareem S. Aggour, Piero P. Bonissone
2005 Lecture Notes in Computer Science  
Results indicate that learning from peers is a robust and promising approach for the usually data-poor domain of equipment prognostics.  ...  The prediction of each vehicle's remaining life is based on the aggregation of estimates from 'peer' units, i.e. units with similar design, maintenance, and utilization characteristics.  ...  Norm Sondheimer, Al Wallace, and Peter Will, members of the DARPA Steering Committee, and GE Rail who provided us with the data sets and domain knowledge that were indispensable for the model generation  ... 
doi:10.1007/11536406_45 fatcat:yux5mmksb5emfkw2q2o7otlnie

An overview of case-based reasoning applications in drilling engineering

Samad Valipour Shokouhi, Pål Skalle, Agnar Aamodt
2012 Artificial Intelligence Review  
With increased understanding of the complexity of drilling operations and continuous development of CBR and combined methods, the future potential is significantly higher.  ...  The numbers of papers, research groups, and experimental systems are indicative of the importance, need, and growth of CBR in different industries.  ...  Acknowledgments The authors would like to express appreciation to people from NTNU and Verdande Technology AS, for their help and cooperation in this work.  ... 
doi:10.1007/s10462-011-9310-2 fatcat:pjalem43ergfvjtgwngmtjpnzq

Applications of CBR in Oil Well Drilling: A General Overview [chapter]

Samad Valipour Shokouhi, Agnar Aamodt, Pål Skalle
2010 IFIP Advances in Information and Communication Technology  
The number of papers and research groups is indicative of importance, need, and growth of CBR in different industries.  ...  This overview of different applications of CBR in petroleum engineering is based on a survey and comparative evaluation of different successful applications of CBR.  ...  Acknowledgment The authors would like to express appreciation to people from NTNU and Verdande Technology AS, for their help and cooperation in this work.  ... 
doi:10.1007/978-3-642-16327-2_15 fatcat:jwlpqh65bvhwjiw73m6icugaym

Predictive Maintenance Tools – A Global Survey

Joao Rodrigues, Jose Torres Farinha, Antonio Marques Cardoso
2021 WSEAS transactions on systems and control  
add potential for a better prediction.  ...  The approach of the several tools that can help the prediction is holistic, because new tools do not eliminate the importance of the old ones: they are complimentary and each new tool that is developed  ...  Yang [11] , in 2004, implemented a system that integrates Case-Based Reasoning (CBR) with Petri Nets for the fault diagnosis of induction motors; from the CBR system the technicians retrieve the information  ... 
doi:10.37394/23203.2021.16.7 fatcat:iyxi5nxkfrcpfhrcznlqdlugq4

Graph-based reasoning in collaborative knowledge management for industrial maintenance

Bernard Kamsu-Foguem, Daniel Noyes
2013 Computers in industry (Print)  
One difficulty in such a system is the heterogeneity of the failure laws of mechanical and electrical components which are, furthermore, integrated into modules equipped with sensors and actuators.  ...  The objective is to find failures during test and learn from those failures by improving the conditions for the functioning of studied systems or redesigning to eliminate them.  ... 
doi:10.1016/j.compind.2013.06.013 fatcat:cd2c3pjfezgrtpfr6kssmzfizi

A Novel CBR-Decision Tree Based Intelligent Car Fault Diagnosis System (CFDS)

2019 International journal of recent technology and engineering  
CBR is a very useful process for solving problems, detecting and diagnosing faults, learning, reasoning and supporting decisions.  ...  This paper proposes a CBR methodology based Intelligent Car Fault Diagnosis System (CFDS) that integrates decision tree as a machine learning technique and jaccard similarity method to diagnose faults  ...  ACKNOWLEDGMENT The authors are thankful to the Department of Computer Science and Engineering in NIT, Durgapur (WB, INDIA),  ... 
doi:10.35940/ijrte.b2390.078219 fatcat:tjstyz5hpfayzhbjimnqf6mcti

Achieving self-healing in service delivery software systems by means of case-based reasoning

Stefania Montani, Cosimo Anglano
2007 Applied intelligence (Boston)  
Moreover, the application of CBR for failure diagnosis and remediation in software systems appears to be very suitable, as in this domain most errors are re-occurrences of known problems.  ...  Case-Based Reasoning (CBR) is a lazy learning paradigm that largely reduces this kind of knowledge acquisition bottleneck.  ...  Both the machines we used for our testbed were equipped with Intel Pentium IV processors and 512 MB of RAM, and ran the Linux operating system.  ... 
doi:10.1007/s10489-007-0047-1 fatcat:deu3iixmhnholcsedltz7eh5ka

Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches

Agnar Aamodt, Enric Plaza
1994 AI Communications  
The methods for case retrieval, reuse, solution testing, and learning are summarized, and their actual realization is discussed in the light of a few example systems that represent different CBR approaches  ...  We also discuss the role of case-based methods as one type of reasoning and learning method within an integrated system architecture.  ...  Acknowledgements We thank Stefan Wess, Ramon Lopez de Mantaras, and Pinar Ozturk for comments on drafts of this paper.  ... 
doi:10.3233/aic-1994-7104 fatcat:xzhzavhf7vgnhnrn6sjsmzwiqi

Manufacturing processes in the textile industry. Expert Systems for fabrics production

Juan BULLON, Angélica GONZÁLEZ ARRIETA, Ascensión HERNÁNDEZ ENCINAS, Araceli QUEIRUGA DIOS
2017 Advances in Distributed Computing and Artificial Intelligence Journal  
The length of the textile process and the variety of its technical processes lead to the coexistence of different sub-sectors in regards to their business structure and integration.  ...  Within manufacturing, the Textile is one of the oldest and most complex sectors which includes a large number of sub-sectors covering the entire production cycle, from raw materials and intermediate products  ...  Acknowledgments We would like to thank Ana Bullón Carbajo for her language advice. References  ... 
doi:10.14201/adcaij2017614150 fatcat:lytdp5uo3rcavjbha6vkkyq5li

An Ontological Metro Accident Case Retrieval Using CBR and NLP

Haitao Wu, Botao Zhong, Benachir Medjdoub, Xuejiao Xing, Li Jiao
2020 Applied Sciences  
In this research, an ontological method that integrates case-based reasoning (CBR) and natural language processing (NLP) techniques was proposed for metro accident case retrieval.  ...  An ontological model was developed to formalize the representation of metro accident knowledge, and then, the CBR aimed to retrieve similar past cases for supporting decision-making after the accident  ...  predictions of future accidents.  ... 
doi:10.3390/app10155298 fatcat:jwb6u6qbyncaff2epqct4e2zma

The Role of Artificial Intelligence (AI) in Condition Monitoring and Diagnostic Engineering Management (COMADEM): A Literature Survey

B. K. Nagaraja Rao
2021 American Journal of Artificial Intelligence  
We are now witnessing the emerging fourth industrial revolution and a considerable number of evolutionary changes in machine learning methodologies to achieve operational excellence in operating and maintaining  ...  Amongst the important aspects in Machine Learning are "Feature Selection" and "Feature Extraction".  ...  Prognostics and health management (PHM) is crucial in the lifecycle monitoring of a product, especially for complex equipment working in a harsh environment.  ... 
doi:10.11648/j.ajai.20210501.12 fatcat:gvplqmpqubdw3pquik5eavux5u

Manufacturing processes in the textile industry. Expert Systems for fabrics production

Juan BULLON, Angélica GONZÁLEZ ARRIETA, Ascensión HERNÁNDEZ ENCINAS, Araceli QUEIRUGA DIOS
2017 Advances in Distributed Computing and Artificial Intelligence Journal  
This value is also calculated with a weight given for each parameter. • The Reuse phase is the most complex tasks in the CBR cycle.  ...  The length of the textile process and the variety of its technical processes lead to the coexistence of different sub-sectors in regards to their business structure and integration.  ...  and integration.  ... 
doi:10.14201/adcaij2017641523 fatcat:lpj5jynxebgg7odwdu7xada3mq

Intelligent systems in manufacturing: current developments and future prospects

Farid Meziane, Sunil Vadera, Khairy Kobbacy, Nathan Proudlove
2000 Integrated Manufacturing Systems  
are used for the components of IMS.  ...  The paper first defines the components of a simplified intelligent manufacturing systems (IMS), the different Artificial Intelligence (AI) techniques to be considered and then shows how these AI techniques  ...  Kim et al. (1998) used an integrated approach of inductive learning and competitive NNs for developing multi-objective FMS schedulers.  ... 
doi:10.1108/09576060010326221 fatcat:lgmpgl65mjdbld2tknib6skxwa

An Improved Similarity Trajectory Method Based on Monitoring Data under Multiple Operating Conditions

Jiancheng Yin, Yuqing Li, Rixin Wang, Minqiang Xu
2021 Applied Sciences  
With the complexity of the task requirement, multiple operating conditions have gradually become the common scenario for equipment.  ...  The results show that the proposed method can directly and effectively use the original monitoring data for life prediction without extracting the degradation trend of the monitoring data.  ...  data or observed degradation trend, which can make effective maintenance plan for equipment to improve the reliability of equipment and reduce the loss and safety problems caused by equipment failure  ... 
doi:10.3390/app112210968 fatcat:ksagbw5iwrffrane4wkc4ubpdy

Cloud-enabled prognosis for manufacturing

R. Gao, L. Wang, R. Teti, D. Dornfeld, S. Kumara, M. Mori, M. Helu
2015 CIRP annals  
These activities can improve accuracy and reliability in predicting resource needs and allocation, maintenance scheduling, and remaining service life of equipment.  ...  Finally, this paper discusses the envisioned architecture and associated challenges of cloud-enabled prognosis for manufacturing.  ...  Nor does it imply that the products identified are necessarily the best available for the purpose.  ... 
doi:10.1016/j.cirp.2015.05.011 fatcat:evyrmltqljd7bcieezh6euy6wm
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