Thermal Camera Fault Detection Using Predictive Temperature Models
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Solution Overview
Problem
Existing fault detection methods in electrical systems rely on binary temperature threshold comparisons, which can be inaccurate and only detect faults after they occur, while also requiring separate thermal cameras for each component, increasing costs.
Innovation Solution
A fault detection device comprising a thermal camera and a processor that acquires thermal images of an electrical system, determines the measured temperature of components, current values, ambient temperatures, and predicted temperatures to calculate temperature differences, thereby assessing the health of electrical components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a binary temperature threshold comparison method is used to detect faults, then the detection method is simple, but the measurement precision is poor and faults are only detected after they occur
Solution Approach 1:
The patent changes from a single binary threshold parameter to multiple parameters including predicted temperature (based on current and ambient conditions), temperature difference, and deviation from predicted temperature. This multi-parameter approach enables more precise fault detection by capturing the dynamic relationship between electrical load and temperature, allowing early detection before faults occur.
Solution Approach 2:
The patent replaces the simple mechanical threshold comparison method with a predictive thermal model that calculates expected temperature based on electrical parameters (current, ambient temperature) and compares it with actual measured temperature. This substitution enables continuous health assessment rather than binary fault detection.
2Measurement precision
If separate thermal cameras are used for each component, then the measurement precision for each component is high, but the device complexity and cost increase
Solution Approach 1:
The patent makes a single thermal camera system universal by equipping it with intelligence to perform multiple functions: it can measure temperatures of different components, predict expected temperatures based on electrical parameters, calculate temperature deviations, and assess health status of various components. The system adapts to monitor multiple components sequentially or simultaneously without requiring dedicated cameras for each.
Solution Approach 2:
The patent introduces an intermediary predictive thermal model that bridges the gap between a single thermal camera and multiple components. The model calculates expected temperatures for different components based on their electrical parameters, allowing the single camera's measurements to be interpreted in context and compared against predicted values for fault detection across multiple components.
3Reliability
If conventional threshold-based temperature monitoring is used, then the detection method is simple to implement, but the reliability of fault detection is low due to inaccurate indications
Solution Approach 1:
The patent implements feedback by continuously comparing the measured temperature with the predicted temperature (based on current and ambient conditions) and using this temperature difference feedback to assess component health. This closed-loop approach provides reliable fault detection by identifying deviations from expected thermal behavior rather than relying on fixed thresholds.
Solution Approach 2:
The patent performs preliminary action by calculating the predicted temperature before actual fault occurrence using the thermal model and electrical parameters. This allows the system to establish what the temperature should be under normal conditions, enabling early detection when actual measurements deviate from predictions, thereby preventing faults before they occur.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and proactive fault detection by determining the health of electrical components before faults occur, reducing the risk of damage and personnel hazards, while potentially lowering costs by using a single thermal camera system.
Implementation Method 1
a thermal camera configured to acquire one or more thermal images of the electrical system
Data Source
AI summary
A fault detection device includes a thermal camera that takes thermal images of an electrical system. The fault detection device includes a processor that receives thermal images of the electrical system from the thermal camera and processes a temperature of an electrical component of the electrical system from the thermal images. The processor also processes a predicted temperature of the electrical component from the current passing through the component and the ambient temperature. The health of the electrical component and faults in the electrical system can be determined from the temperature difference between the measured temperature of the electrical component and the predicted temperature of the electrical component.