Power Converter Anomaly Detection Using Temperature and Current
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing power conversion devices and electric motors often fail to detect anomalies appropriately, leading to potential failures and downtime due to inadequate monitoring techniques.
Innovation Solution
An information processing apparatus that acquires temperature and current input data from semiconductor elements and electric motors, using estimation units to detect specific anomalies such as bearing damage, overload, or misalignment, by analyzing spectral data and anomaly coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional periodic monitoring techniques are used for power conversion devices, then the monitoring process is simple, but anomaly detection accuracy is insufficient
Solution Approach 1:
The monitoring system is segmented into multiple functional units: acquisition unit for collecting temperature and current data, estimation unit for analyzing anomaly patterns, and determination unit for making final anomaly decisions. This segmentation allows each unit to specialize in specific tasks, improving overall detection accuracy while maintaining manageable complexity through modular design.
Solution Approach 2:
The system monitors multiple parameters simultaneously (temperature changes of semiconductor elements, current changes to the motor) rather than relying on a single parameter. By analyzing changes in multiple parameters and their relationships, the system achieves higher anomaly detection accuracy without proportionally increasing system complexity.
2Measurement precision
If multiple parameters are monitored simultaneously to improve anomaly detection, then detection accuracy improves, but data processing complexity increases
Solution Approach 1:
The system employs feedback mechanisms where the estimation unit continuously analyzes acquired data and provides information to the determination unit. The determination unit uses this feedback to decide whether an anomaly exists. This feedback loop allows the system to process multiple parameters efficiently by iteratively refining anomaly assessment based on accumulated evidence from temperature and current data.
Solution Approach 2:
The estimation unit acts as an intermediary between the acquisition unit and the determination unit. It processes the raw temperature and current data, extracting meaningful patterns and preparing processed information for the determination unit. This intermediary layer simplifies the overall data processing complexity by handling the complex analysis tasks in a dedicated intermediate stage.
Data Source
AI summary
To be able to detect abnormalities more appropriately. An information processing apparatus includes an acquisition circuit and an estimation circuit. It acquires information indicating a temperature transition and a current transition related to a semiconductor element of a power conversion device and an electric motor. And it estimates an anomaly of a specific type in a system based on the acquired information.