Rotating Machine Strand Temperature Prediction via Insulating Layer Correlation
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Solution Overview
Problem
Conventional systems for monitoring temperature in rotating electric machines fail to accurately predict the temperature of the strand with the highest temperature within the coil, leading to inadequate detection of insulating layer degradation.
Innovation Solution
A system and method that include an in-coil temperature sensor, a physical quantity sensor, sensor data storage, an in-machine temperature predictor, a strand temperature calculator, and a strand temperature predictor to accurately predict the temperature of the strand based on measured data, enabling precise monitoring of temperature rises within the rotating electric machine.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional temperature monitoring methods are used, then the system is simple to operate, but the measurement precision of strand temperature is insufficient
Solution Approach 1:
The patent introduces an intermediary calculation model that uses the relationship between strand temperature and insulating layer temperature to indirectly determine strand temperature. Instead of directly measuring strand temperature, the system measures insulating layer temperature and uses pre-established correlation data to calculate the corresponding strand temperature, thus achieving high precision without direct contact measurement
Solution Approach 2:
The patent performs preliminary actions by pre-establishing the temperature correlation between strands and insulating layers through finite element analysis and experiments before actual operation. This pre-calculated relationship database is stored and used during runtime to quickly determine strand temperature from insulating layer measurements, avoiding complex real-time calculations
2Reliability
If conventional temperature monitoring is used, then the device complexity is low, but the reliability of detecting insulating layer degradation is insufficient
Solution Approach 1:
The patent implements feedback by continuously monitoring insulating layer temperature and comparing it against the pre-established correlation model. When the calculated strand temperature exceeds predetermined thresholds or shows abnormal trends, the system generates alerts, creating a closed-loop monitoring system that provides reliable degradation detection
Solution Approach 2:
The insulating layer temperature serves as an intermediary indicator that reflects the thermal state of the strand. By measuring the insulating layer temperature and using the established relationship, the system reliably infers strand temperature and insulating layer degradation status without directly exposing sensors to harsh electromagnetic and thermal environments
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
This approach allows for high-accuracy detection of temperature rises within the rotating electric machine, enhancing product reliability by predicting strand temperatures and preventing unscheduled stops due to insulating layer degradation.
Implementation Method 1
an in-coil temperature sensor that is placed within the coil
Implementation Method 2
a physical quantity sensor that is placed within the rotating electric machine and measures a physical quantity related to operation of the rotating electric machine
Implementation Method 3
an in-machine temperature predictor that predicts a temperature inside the rotating electric machine by use of the value measured by the physical quantity sensor
Implementation Method 4
a strand temperature calculator that calculates a relationship between a temperature of the strand and a temperature measured by the in-coil temperature sensor
Implementation Method 5
a strand temperature predictor that predicts a temperature of the strand from the value measured by the at least one in-coil temperature sensor and from the relationship between a temperature of the strand and a temperature measured by the in-coil temperature sensor
Implementation Method 6
due to Joule loss, copper loss or the like, a coil, a core and/or the like produces heat to cause a temperature rise in the machine
Data Source
AI summary
A system and method for monitoring temperature and detecting a temperature rise of a rotating electric machine with high accuracy. A temperature monitoring system for a rotating electric machine includes: sensor data storage that stores values measured by an in-coil temperature sensor and a physical quantity sensor in the rotating electric machine; an in-machine temperature predictor that predicts a temperature by use of the value measured by the physical quantity sensor; a strand temperature calculator that calculates a relationship between a temperature of the strand and a temperature measured by the in-coil temperature sensor, based on the predicted temperature; and a strand temperature predictor that predicts a temperature of the strand from the value measured by the in-coil temperature sensor, and from the relationship between a temperature of the strand and a temperature measured by the in-coil temperature sensor calculated by the strand temperature calculator.