Colloquium lecture: Swar Parekh, 20.08.2024 (Supervisor Bazan)
Enhancing Power Transformer Reliability Through Sensor Validation and Monitoring System Optimisation
Power transformers are critical for efficient electricity transmission, and their reliable operation is essential to prevent outages and financial losses. This masters’s thesis addresses the potential unreliability of current sensor-based monitoring systems in power transformers, which are prone to issues like signal anomalies, sensor faults, noise, and interference. The research aims to enhance the reliability of these monitoring systems through a structured approach. First, a a comprehensive list of sensors used in transformer monitoring is created, categorizing them into thermal, mechanical, and electrical monitoring functions. A literature review identifies sources of signal anomalies, followed by a Failure Modes and Effects Analysis (FMEA) to pinpoint potential failure modes and mitigation strategies. It can be seen that while sensor failures must be accounted for, there are limitations, especially with IoT devices that may not handle all error signals. Therefore, identifying and prioritizing critical error signals is essential for effective monitoring.
Time: 10:15 Uhr
Location: Room 04.137, Martensstr. 3, Erlangen
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Meeting-ID: 683 5070 2053
Kenncode: 647333