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Self-Tuning Routine Alarm Analysis of Vibration Signals in Steam Turbine Generators.

, , , and . IEEE Trans. Reliability, 61 (3): 731-740 (2012)

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Self-Tuning Routine Alarm Analysis of Vibration Signals in Steam Turbine Generators., , , and . IEEE Trans. Reliability, 61 (3): 731-740 (2012)Data Analytics to Support Operational Distribution Network Monitoring., , , and . ISGT Europe, page 1-6. IEEE, (2018)An Agent-Based Implementation of Hidden Markov Models for Gas Turbine Condition Monitoring., , , and . IEEE Trans. Syst. Man Cybern. Syst., 44 (2): 186-195 (2014)A Semiautomatic Approach to Deriving Turbine Generator Diagnostic Knowledge., , , and . IEEE Trans. Syst. Man Cybern. Part C, 37 (5): 979-992 (2007)Multiagent System for Condition-Monitoring Applications., , and . Cybern. Syst., 33 (6): 543-558 (2002)A self-organizing multi-agent system for distributed voltage regulation., , , , , , and . CoRR, (2022)Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study., , , , , , and . Reliab. Eng. Syst. Saf., (2022)Automating Power System Fault Diagnosis through Multi-Agent System Technology., , , and . HICSS, IEEE Computer Society, (2004)Automated Fault Analysis and Diagnosis using High-Frequency and Maintenance Data from Distribution Networks., , and . ISGT Europe, page 1-5. IEEE, (2019)A Data Analytic Approach to Automatic Fault Diagnosis and Prognosis for Distribution Automation., , , , and . IEEE Trans. Smart Grid, 9 (6): 6265-6273 (2018)