A robust algorithm based on a failure-sensitive matrix for fault diagnosis of power systems: an application on power transformers
In this paper, a robust algorithm for fault diagnosis of power system equipment based on a failure-sensitive matrix (FSM) is presented. The FSM is a dynamic matrix structure updated by multiple measurements (online) and test results (offline) on the systems. The algorithm uses many different artificial intelligence and expert system methods for adaptively detecting the location of faults, emerging failures, and causes of failures. In this algorithm, all data obtained from the power transformer, which have various nonlinear input and output parameters, are processed using the parallel matrix structure of the FSM to reach a global solution quickly. The parameters of a power transformer are used to verify the algorithm under 4 operating conditions simulated in the MATLAB--Simulink program. The obtained results show that the algorithm is convenient for determining incipient failures of a system that consists of multiple parameters.
A robust algorithm based on a failure-sensitive matrix for fault diagnosis of power systems: an application on power transformers
In this paper, a robust algorithm for fault diagnosis of power system equipment based on a failure-sensitive matrix (FSM) is presented. The FSM is a dynamic matrix structure updated by multiple measurements (online) and test results (offline) on the systems. The algorithm uses many different artificial intelligence and expert system methods for adaptively detecting the location of faults, emerging failures, and causes of failures. In this algorithm, all data obtained from the power transformer, which have various nonlinear input and output parameters, are processed using the parallel matrix structure of the FSM to reach a global solution quickly. The parameters of a power transformer are used to verify the algorithm under 4 operating conditions simulated in the MATLAB--Simulink program. The obtained results show that the algorithm is convenient for determining incipient failures of a system that consists of multiple parameters.
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- Table System components. DAQ card, terminal mass / NI-USB 6251-16 bits
- Measuring range: –30 / +500 ◦ C 0–12 V, +5 / –5 V, +12 / –12 V Power: 3500 VA (0%–100 %) Power: 2500 VA 100–1500 rpm 650 L/h Power: AC 220 V / 1500 W Measuring range: –55 ◦ C to +125 ◦ C
- Inputs : TC, RTD, mV, V, mA 1–16 Bar 1–10 Bar Measuring range: 0–10 Bar –50 ◦ C to +400 ◦ C to 800 –200 ◦ C Output:4–20 mA/Reed switch Pressboard: IEC 60554 Nytro Lyra X (IEC 60296)