Showing 1,061 - 1,080 results of 1,366 for search 'Fault three analysis methods', query time: 0.18s Refine Results
  1. 1061
  2. 1062
  3. 1063

    Post-Mining Hazard Management of the Former Gardanne Coal Basin (France): Feedback of 17 Years of Microseismic Monitoring by Isabelle Contrucci, Jannes L. Kinscher, Kévin Delage, Emmanuelle Klein

    Published 2025-06-01
    “…This paper shows, through multiplet analysis method of the seismic data recorded by the monitoring network stations, that part of the seismicity in the monitoring areas is also due to the reactivation of tectonic faults. …”
    Get full text
    Article
  4. 1064

    RANKING OF SEISMIC INTENSITY ATTENUATION LAWS AND MODELING OF SEISMIC SOURCES FOR SEISMIC HAZARD ASSESSMENT IN UZBEKISTAN by R. S. Ibragimov, T. L. Ibragimova, M. A. Mirzaev, S. H. Ashurov

    Published 2024-08-01
    “…Consideration was given to three alternative models of seismic sources: area sources, active faults, and seismogenic zones. …”
    Get full text
    Article
  5. 1065
  6. 1066
  7. 1067
  8. 1068

    THE NEPSKY-1 IMPACT CRATER AND ITS FILL DEPOSITS ON THE BASEMENT ROOF OF THE SIBERIAN PLATFORM by M. I. Gyokche, A. V. Plyusnin

    Published 2020-12-01
    “…In the area around the crater, fault systems are detected. Based on the core sample analysis, we identified the lithological members of the crater and its rim and described them in detail. …”
    Get full text
    Article
  9. 1069
  10. 1070
  11. 1071

    Innovative Modeling of IMU Arrays Under the Generic Multi-Sensor Integration Strategy by Benjamin Brunson, Jianguo Wang, Wenbo Ma

    Published 2024-12-01
    “…This method characterizes sensor errors (biases/scale factor errors) for each IMU in an IMU array, leveraging the novel Generic Multisensor Integration Strategy (GMIS) and the framework for comprehensive error analysis in Discrete Kalman filtering developed through the authors’ previous research. …”
    Get full text
    Article
  12. 1072
  13. 1073

    Design and realization of compressor data abnormality safety monitoring and inducement traceability expert system. by Yuan Wang, Shaolin Hu

    Published 2025-01-01
    “…This method starts from petrochemical big data and consists of three parts: fault dynamic knowledge graph construction, instrument data sliding fault-tolerant filtering, and the fusion and reasoning of fault dynamic knowledge graph and instrument data variation monitoring. …”
    Get full text
    Article
  14. 1074

    Health Diagnosis of Roadheader Based on Reference Manifold Learning and Improved K-Means by Xiaodong Ji, Yang Yang, Yuanyuan Qu, Hai Jiang, Miao Wu

    Published 2021-01-01
    “…Through practical analysis, the effectiveness of the method was verified and provided a kind of fault analysis idea and method for equipment working under complex working conditions and the theoretical basis for fault type analysis.…”
    Get full text
    Article
  15. 1075

    Assessing Characteristics of Strong Dynamic Loads in Deep Coal Mining and Their Mechanisms in Triggering Secondary Disasters by Wentao Ren, Jiazhuo Li, Xuwei Li, Changbin Wang, Shun Liu, Hang Qiu

    Published 2025-04-01
    “…The results show that the strong dynamic load events are mainly concentrated in the working face roof and fault zone areas. The first principal frequency of the three classes has an estimated boundary between 30 and 60 Hz. …”
    Get full text
    Article
  16. 1076
  17. 1077

    Review of Research on Voltage Dependent Current Order Limiter for Commutation Failure Mitigation by ZHU Xuan, TANG Yi, ZHENG Chenyi, WANG Ying, DANG Jie, CUI Ting

    Published 2025-08-01
    “…[Methods] Based on an analysis of the limitations of the traditional VDCOL,the improved control methods of the VDCOL to suppress commutation failure were sorted and analyzed in detail from three aspects:improving the sensitivity of fault response,enhancing the flexibility of current control,and realizing multi-DC cooperative control. …”
    Get full text
    Article
  18. 1078
  19. 1079

    Cooperative Hybrid Modelling and Dimensionality Reduction for a Failure Monitoring Application in Industrial Systems by Morgane Suhas, Emmanuelle Abisset-Chavanne, Pierre-André Rey

    Published 2025-03-01
    “…The integration of physical knowledge of the healthy behaviour of the motor into a recurrent neural network enhances the accuracy of bearing fault detection by identifying three health states: healthy, progressive fault and stabilised fault. …”
    Get full text
    Article
  20. 1080