SINOCMP Excavator Main Relief Valve for Daewoo

  • Fault diagnosis of rotating machinery based on dual

    An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition Neurocomputing, 310 ( 2018 ), pp. 213 - 222, 10.1016/j.neucom.2018.05.024

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  • US7730020B2 - Diagnosis of equipment failures using an

    Equipment failures are diagnosed using an integrated approach of case-based reasoning (CBR) and statistical reliability analysis. The method outputs a single list of suggested failed components,

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  • BARUA - KHORASANI 1 Hierarchical Fault Diagnosis and

    to difficulties in assessing the overall system health. Therefore, a decision support system should be developed that would provide the ground personnel with an ability to perform diagnostic reason-ing coherently. The focus of this work is to develop a methodol-ogy for ground station based diagnosis of complex multi-vehicle

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  • Power transformer fault diagnosis system based on Internet

    Feb 05, 2021 · Abstract Transformer is the most important equipment in the power system. The research and development of fault diagnosis technology for Internet of Things equipment can effectively detect the operation status of equipment and eliminate hidden faults in time, which is conducive to reducing the incidence of accidents and improving people's life safety index. Objective To explore the utility of

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  • US20070288795A1 - Diagnosis of equipment failures using an

    Equipment failures are diagnosed using an integrated approach of case-based reasoning (CBR) and statistical reliability analysis. The method outputs a single list of suggested failed components, ranked by an overall probability of failure, and their associated past solutions from the case base. The overall probability of failure is calculated using the combined logic of case based reasoning

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  • ICARUS: design and deployment of a case-based reasoning

    Dec 01, 1999 · Locomotives, like many complex modern machines, are equipped with the capability to generate on-board fault messages indicating the presence of anomal…

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  • Advancements and Trends in Medical Case-Based Reasoning

    Case-Based Reasoning (CBR) is a recognised and well established method for building medical systems. In this paper, we identify strengths and weaknesses of CBR in medicine. System properties, divided into construction-oriented and purpose-oriented, are used as the basis for a survey of recent publications and research projects.

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  • Fault Detection and Diagnosis System for Centrifugal

    Fig. 3. Overall scheme of knowledgebased fault detection and diagnosis - [2] 2.3 Signal based . Signal-based fault detection ways are used for several meas-ured signals of the many processes that show oscillations that are characterized by either their cyclic time behavior, that hold for rotating machines or alternating currents, or random time

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  • A Comparison of Model-Based and Incremental Case …

    an existing model-based, goal-directed diagnosis system as a case-based system. Fault diagnosis seems a good candidate for CBR because it is clear that much of human expertise in fault diagnosis is experience based. Further, fault diagnosis seems naturally case-based with each diagnostic episode constituting a case.

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  • (PDF) A Comparison of Incremental Case-Based Reasoning and

    This work was motivated by an attempt to reengineer a model-based fault diagnosis system as a case-based reasoning system. One of the great strengths of the model-based system was that the main part of its reasoning mechanism was goal driven so the operator was only asked to perform tests that would contribute to a particular diagnosis.

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  • Application of neural network algorithm in fault diagnosis

    In recent years, mechanical fault diagnosis technology at home and abroad has developed rapidly, and its application has spread to various industrial fields. Due to the complex structure of rotating machinery, the ambiguity and complexity of fault characteristics and causes are common, and it is difficult to carry out fault diagnosis. Although many researches have been carried out and some

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  • Research on key technologies of fault diagnosis and early

    Sep 02, 2019 · Up to12%cash back · According to the functional requirements and operational requirements of the system, the fault diagnosis and analysis system is designed with a three-layer structure. The first layer is the acquisition communication layer. The layer consists of a vibration acquisition device, a temperature acquisition device and a convergence node.

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  • A concept for fault diagnosis combining Case-Based

    Jan 01, 2020 · Based on this review, a research gap is identified which is addressed within this paper. 2.1 Existing approaches for fault diagnosis The main methods used in the field of fault diagnosis have been reviewed by several authors (Venkatasubramanian A concept for f ult diagnosis combining Case-Based Reasoning with topological system models Jonas

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  • Model-Based Fault Diagnosis Method for Aerospace Electro

    Oct 08, 2021 · The fault diagnosis technique plays an important role in improving the reliability of the system by detecting the system running condition to find the fault and analyze the cause of the fault.

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  • Deep Learning Based Data Fusion for Sensor Fault Diagnosis

    Jul 20, 2021 · A fault diagnosis and avoidance mechanism of perception system is designed to ensure the redundancy of sensor data. Through the redundant information for fault diagnosis, the accuracy of the sensor data at the current moment can be judged and the fault signal can be eliminated.

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  • 3 Case-based reasoning (CBR)-based process optimization model

    Wang, Fault diagnosis method using learning case-based reasoning for Tennessee-Eastman process, Control Theory Appl., 2017, 34 (9), 1179–1184 Search PubMed. T. Farkas, Y. Avramenko, A. Kraslawski, Z. Lelkes and L. Nyström, Selection of a Mixed-Integer Nonlinear Programming (MINLP) Model of Distillation Column Synthesis by Case-Based

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  • (PDF) A Comparison of Incremental Case-Based Reasoning and

    This work was motivated by an attempt to reengineer a model-based fault diagnosis system as a case-based reasoning system. One of the great strengths of the model-based system was that the main part of its reasoning mechanism was goal driven so the operator was only asked to perform tests that would contribute to a particular diagnosis.

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  • A novel expert system of fault diagnosis based on

    Dec 30, 2013 · 2. Structure of expert system for fault diagnosis. The structure of expert system for vibration diagnosis as shown in Fig. 1 is mainly comprised by diagnostic knowledge base; diagnostic reasoning engine, equipment property database, diagnostic knowledge acquisition module, explanation module, and man-machine interface six parts [2, 3].

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  • Ontology-Based Method for Fault Diagnosis of Loaders

    This method contains the following components: (1) An ontology-based fault diagnosis model is proposed to achieve the integrating, sharing and reusing of fault diagnosis knowledge for loaders; (2) combined with ontology, CBR (case-based reasoning) is introduced to realize effective and accurate fault diagnoses following four steps (feature selection, case-retrieval, case-matching and case-updating); …

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  • (PDF) Ontology-Based Method for Fault Diagnosis of …

    Feb 28, 2018 · Overall structure of loaders fault diagnosis system. CBR, case-based reasoning; RBR, rule-based reasoning; UI, user interface; CAN, Controller Area Network; …

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