High-Voltage Bushing Maintenance via Time Series Pre-Fault Detection
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Solution Overview
Problem
Current high-voltage bushing maintenance requires on-site manual intervention and can only be assessed during operational breaks, lacking continuous and reliable monitoring for pre-fault patterns.
Innovation Solution
A method involving sensor-equipped high-voltage bushings that continuously measure and store data, allowing for remote, computer-aided monitoring through time series analysis to detect pre-fault patterns, triggering maintenance instructions via wireless communication and graphical user interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous monitoring with sensors and automated data processing is implemented, then reliability and maintenance timing are improved, but device complexity increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting sensor data and analyzing time series for pre-fault patterns before actual failures occur. The automated data processing unit examines measured values in advance to detect early signs of degradation, enabling proactive maintenance before the bushing fails, thus improving reliability without requiring complex real-time intervention systems.
Solution Approach 2:
The monitoring system implements self-service through automated data collection, processing, and analysis. The system autonomously evaluates sensor data, detects pre-fault patterns, and generates maintenance recommendations without requiring constant human intervention or complex external control systems, thereby improving reliability while keeping the system relatively simple.
2Productivity
If on-site manual maintenance is performed during operational breaks, then device complexity remains low, but productivity and reliability deteriorate due to limited monitoring opportunities
Solution Approach 1:
The system ensures continuity of useful action by performing maintenance activities outside of operational breaks. Sensors continuously monitor the bushing during normal operation, and data processing occurs without interrupting power transmission. This allows maintenance planning and execution to be decoupled from operational downtime, eliminating the need to stop the bushing for inspections and significantly improving productivity while reducing time loss.
Solution Approach 2:
The system performs preliminary maintenance actions by identifying pre-fault patterns and planning maintenance activities in advance, before operational breaks are needed. This allows maintenance to be scheduled optimally and executed with full information about the bushing condition, improving maintenance efficiency and reducing the time actually needed for maintenance interventions.
3Measurement precision
If detailed time series analysis with multiple sensors is implemented, then measurement precision and detection capability improve, but device complexity and cost increase
Solution Approach 1:
The system extracts only the essential and most informative measured values from the sensor data for detailed analysis. Instead of processing all possible sensor inputs equally, the data processing unit identifies and focuses on key parameters that are most indicative of bushing health and pre-fault conditions. This selective extraction maintains high measurement precision while reducing data processing complexity and computational requirements.
Solution Approach 2:
The system applies different analysis depths to different data sources. Critical sensors that provide direct insight into bushing condition undergo detailed time series analysis, while less critical measurements receive simpler monitoring. This localized quality approach ensures high detection precision for the most important parameters without applying complex analysis uniformly across all sensors, thereby reducing overall system complexity.
Data Source
AI summary
The invention relates to a method for maintaining a high-voltage bushing (1). In the method according to the invention, measured values or quantities derived from the high-voltage bushing are stored as sensor data in the form of at least one time series. This time series is examined for the presence of a predetermined pre-fault pattern, and if the pre-fault pattern is present, a maintenance instruction is triggered to carry out a maintenance and/or control measure on the high-voltage bushing. The invention also relates to a data processing device (6) configured to carry out the method according to the invention.