BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

145 related articles for article (PubMed ID: 12858981)

  • 1. Creating an automated chiller fault detection and diagnostics tool using a data fault library.
    Bailey MB; Kreider JF
    ISA Trans; 2003 Jul; 42(3):485-95. PubMed ID: 12858981
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Novel Chiller Sensors Fault Diagnosis Method Based on Virtual Sensors.
    Gao L; Li D; Li D; Yao L; Liang L; Gao Y
    Sensors (Basel); 2019 Jul; 19(13):. PubMed ID: 31288478
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Sensor drift fault diagnosis for chiller system using deep recurrent canonical correlation analysis and k-nearest neighbor classifier.
    Gao L; Li D; Yao L; Gao Y
    ISA Trans; 2022 Mar; 122():232-246. PubMed ID: 33985786
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Dataset of low global warming potential refrigerant refrigeration system for fault detection and diagnostics.
    Sun J; Im P; Bae Y; Munk J; Kuruganti T; Fricke B
    Sci Data; 2021 May; 8(1):144. PubMed ID: 34045474
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fault Detection and Diagnosis in Multi-Robot Systems: A Survey.
    Khalastchi E; Kalech M
    Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31540376
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A review and comparison of fault detection and diagnosis methods for squirrel-cage induction motors: State of the art.
    Liu Y; Bazzi AM
    ISA Trans; 2017 Sep; 70():400-409. PubMed ID: 28606709
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A holistic sequential fault detection and diagnostics framework for multiple zone variable air volume air handling unit systems.
    Torabi N; Gunay HB; O'Brien W; Moromisato R
    Build Serv Eng Res Technol; 2022 Sep; 43(5):605-625. PubMed ID: 36051708
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Recent Advances in Intelligent Algorithms for Fault Detection and Diagnosis.
    Mercorelli P
    Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676272
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Effect of Common Faults on the Performance of Different Types of Vapor Compression Systems.
    Du Z; Domanski PA; Payne WV
    Appl Therm Eng; 2016 Apr; 98():61-72. PubMed ID: 26929732
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Novel Fault Diagnosis Approach for Chillers Based on 1-D Convolutional Neural Network and Gated Recurrent Unit.
    Wang Z; Dong Y; Liu W; Ma Z
    Sensors (Basel); 2020 Apr; 20(9):. PubMed ID: 32357428
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Induction machine bearing faults detection based on a multi-dimensional MUSIC algorithm and maximum likelihood estimation.
    Elbouchikhi E; Choqueuse V; Benbouzid M
    ISA Trans; 2016 Jul; 63():413-424. PubMed ID: 27038887
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Building fault detection data to aid diagnostic algorithm creation and performance testing.
    Granderson J; Lin G; Harding A; Im P; Chen Y
    Sci Data; 2020 Feb; 7(1):65. PubMed ID: 32094340
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development of a Methodology Using Artificial Neural Network in the Detection and Diagnosis of Faults for Pneumatic Control Valves.
    Andrade A; Lopes K; Lima B; Maitelli A
    Sensors (Basel); 2021 Jan; 21(3):. PubMed ID: 33514040
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Enhanced data validation strategy of air quality monitoring network.
    Harkat MF; Mansouri M; Nounou M; Nounou H
    Environ Res; 2018 Jan; 160():183-194. PubMed ID: 28987729
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fault diagnostics for turbo-shaft engine sensors based on a simplified on-board model.
    Lu F; Huang J; Xing Y
    Sensors (Basel); 2012; 12(8):11061-76. PubMed ID: 23112645
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Sensor Fault Detection and Diagnosis Method for AHU Using 1-D CNN and Clustering Analysis.
    Liu J; Zhang M; Wang H; Zhao W; Liu Y
    Comput Intell Neurosci; 2019; 2019():5367217. PubMed ID: 31662739
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fault Identification of Chemical Processes Based on k-NN Variable Contribution and CNN Data Reconstruction Methods.
    Wang GZ; Li J; Hu YT; Li Y; Du ZY
    Sensors (Basel); 2019 Feb; 19(4):. PubMed ID: 30813310
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fault detection and diagnosis for non-Gaussian stochastic distribution systems with time delays via RBF neural networks.
    Yi Q; Zhan-ming L; Er-chao L
    ISA Trans; 2012 Nov; 51(6):786-91. PubMed ID: 22902083
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Online ANN-based fault diagnosis implementation using an FPGA: Application in the EFI system of a vehicle.
    Namigtle-Jiménez A; Escobar-Jiménez RF; Gómez-Aguilar JF; García-Beltrán CD; Téllez-Anguiano AC
    ISA Trans; 2020 May; 100():358-372. PubMed ID: 31733892
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Non-Mutually Exclusive Deep Neural Network Classifier for Combined Modes of Bearing Fault Diagnosis.
    Duong BP; Kim JM
    Sensors (Basel); 2018 Apr; 18(4):. PubMed ID: 29642466
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.