Capacitor Life Diagnosis via Voltage Fluctuation Monitoring
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Solution Overview
Problem
Existing capacitor life diagnosis technologies cannot accurately predict the residual life of capacitors, only determining if they are at the end of life or experiencing a decrease in electrostatic capacitance, but not providing information on remaining lifespan.
Innovation Solution
A capacitor life diagnosis device with a fluctuation detecting unit that monitors the maximum value of output voltage fluctuations over time and uses this data to predict the residual life of the capacitor, outputting a signal indicating the capacitor's remaining lifespan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing capacitor life diagnosis technologies are used to determine end of life or capacitance decrease, then basic capacitor status can be identified, but residual life prediction capability is lost
Solution Approach 1:
The system performs preliminary actions by periodically measuring voltage fluctuations and capacitor current before the capacitor actually fails. These measurements are stored and analyzed over time to predict residual life, allowing proactive maintenance planning rather than reactive response after failure occurs.
Solution Approach 2:
The system establishes a feedback loop where voltage fluctuation measurements and capacitor current data are continuously fed back to the control unit. This feedback enables the system to track degradation trends and update residual life predictions dynamically, transforming static end-of-life detection into dynamic residual life forecasting.
2Loss of information
If voltage fluctuation monitoring is implemented to predict residual life, then accurate residual life prediction is achieved, but measurement and data processing complexity increases
Solution Approach 1:
The system utilizes existing circuit elements (voltage detection circuits already present in the power supply device and capacitor current measurements) to obtain the data needed for residual life prediction. By leveraging self-generated data from normal operation, the system avoids adding complex external measurement equipment while still achieving accurate predictions.
Solution Approach 2:
The system monitors changes in voltage fluctuation parameters over time rather than relying on single-point measurements. By tracking the temporal evolution of voltage fluctuation characteristics and correlating them with capacitor degradation, the system extracts residual life information from parameter changes that occur during normal operation.
3Measurement precision
If periodic determination control is performed to detect voltage fluctuations, then capacitor degradation can be monitored, but output power stability may be affected
Solution Approach 1:
The system applies partial determination control by performing measurements at strategically selected intervals rather than continuously. The periodic nature of the control allows sufficient data collection for accurate degradation monitoring while minimizing the frequency and duration of interventions that could disrupt output power stability.
Solution Approach 2:
The system implements periodic determination control where voltage fluctuations are measured at regular intervals. This periodic approach balances the need for sufficient measurement data to accurately track capacitor degradation with the requirement to maintain stable output power during normal operation, avoiding both continuous disruption and insufficient data collection.
Data Source
AI summary
A capacitor life diagnosis device includes: a first fluctuation detecting unit configured to detect a maximum value of fluctuation in output voltage of a first capacitor every fixed time; and an output unit configured to predict a residual life of the first capacitor on the basis of temporal transition of the maximum value of fluctuation in the output voltage detected by the first fluctuation detecting unit, and output a signal indicating the residual life of the first capacitor.