Electrical Machine EoL Estimation via Phasor Current Analysis
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Solution Overview
Problem
Existing methods for detecting faults and predicting the End of Life (EoL) of electrical machines are inefficient due to variability in failure patterns influenced by specific operating parameters and environments, leading to increased costs from premature replacements and unpredictable downtime.
Innovation Solution
A system and method that measure phasor current and voltage of electrical machines to determine diagnostic parameters indicative of faults, using error minimization methods to estimate EoL, with a fault estimation module processing data from sensors to predict potential failures and optimize maintenance schedules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If generalized historical repair data is used for failure prediction, then maintenance planning can be performed, but the prediction accuracy deteriorates due to significant variations in failure patterns across different machine ratings and operating conditions
Solution Approach 1:
The patent applies local quality by tailoring failure prediction models to specific machine ratings, types, and operating conditions rather than using a single generalized model. Different diagnostic parameters and prediction approaches are selected based on the specific characteristics of each machine, enabling accurate predictions while maintaining adaptability across diverse applications.
2Reliability
If planned maintenance schedules are implemented to replace or repair machines before failure, then machine reliability improves, but maintenance costs increase due to premature replacements
Solution Approach 1:
The patent enables preliminary action by predicting the remaining useful life of machines before actual failure occurs. This allows maintenance activities to be scheduled at optimal times based on predicted EoL rather than following fixed schedules, preventing premature replacements while ensuring reliability.
Solution Approach 2:
The system continuously monitors machine condition and provides feedback on predicted EoL, allowing dynamic adjustment of maintenance schedules. This feedback mechanism enables maintenance to be performed only when necessary based on actual machine degradation trends, reducing unnecessary maintenance costs while maintaining reliability.
3Measurement precision
If fault detection systems monitor multiple operating parameters, then diagnostic accuracy improves, but system complexity increases
Solution Approach 1:
The patent extracts and focuses on the most critical diagnostic parameters related to bearing, winding insulation, and iron core failures rather than monitoring all possible parameters. This selective approach maintains high diagnostic accuracy while reducing system complexity by concentrating on the most informative measurements.
Data Source
AI summary
The method includes measuring an operating parameter comprising at least one of a phasor current and phasor voltage of an electrical machine. The method further includes determining a diagnostic parameter indicative of a fault of the electrical machine based on the measured operating parameter. The method also includes estimating end of life of the electrical machine based on the diagnostic parameter using an error minimization method.