Predicting Remaining Service Life of Limited-Life Components via Sound Data Frequency Analysis
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Solution Overview
Problem
Existing techniques fail to accurately predict the remaining service life of limited-life components in electronic apparatuses, such as bearings and gears, leading to unforeseen malfunctions and prolonged downtime due to inadequate degradation status monitoring.
Innovation Solution
An electronic apparatus is equipped with a control device, sound collecting devices, and a storage device that performs frequency analysis of sound data from rotating components, compares the sound pressure levels to predict the remaining service life, and displays the results on a user interface, allowing for timely replacement and reducing downtime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency analysis of sound data is performed to predict remaining service life, then measurement precision of component degradation is improved, but device complexity increases due to additional sound collecting devices and processing requirements
Solution Approach 1:
The patent replaces complex mechanical degradation monitoring systems with acoustic field-based detection. By using sound collecting devices to capture acoustic emissions from the limited-life component and performing frequency analysis, the system substitutes direct mechanical measurement with indirect acoustic measurement, achieving high prediction accuracy while maintaining relatively simple device structure
Solution Approach 2:
The patent introduces sound waves as an intermediary to detect component degradation. Instead of directly measuring mechanical parameters of the limited-life component, the system uses acoustic emissions as a mediator that carries information about component status, enabling non-contact and non-intrusive monitoring
2Reliability
If sound data collection and frequency analysis are implemented continuously, then reliability of degradation monitoring is improved, but use of energy increases due to continuous operation of sound collecting devices and processing units
Solution Approach 1:
The patent implements periodic sound data collection and frequency analysis at predetermined time points during the operation of the limited-life component, rather than continuous monitoring. This periodic approach maintains reliable degradation detection while significantly reducing energy consumption compared to continuous monitoring systems
Solution Approach 2:
The patent performs frequency analysis only on specific frequency ranges corresponding to the characteristic frequencies of the limited-life component, rather than analyzing the entire sound spectrum. This partial analysis approach maintains monitoring reliability while reducing computational energy consumption
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
The solution enables precise prediction of the remaining service life of limited-life components, facilitating proactive replacement and minimizing downtime by providing accurate and timely notifications, thus enhancing maintenance efficiency.
Implementation Method 1
a sound collecting device configured to collect sound of the limited-life component generated while the drive roller is rotating
Implementation Method 2
the controller performs frequency analysis of the sound data outputted from the sound collecting device at each of predetermined time points
Data Source
AI summary
An electronic apparatus includes a drive unit having a drive roller, a driving motor, and a limited-life component, a sound collecting device that collects sound from the limited-life component, and outputs sound data, a storage device storing in advance a sound pressure level corresponding to a specific frequency of the limited-life component, with respect to each of different lengths of the remaining service life, and a controller that analyzes frequency of the sound data at predetermined time points; acquires the sound pressure level corresponding to the specific frequency of the limited-life component, on a basis of a result of the frequency analysis; compares the acquired sound pressure level with the sound pressure level of each of the lengths of the remaining service life; predicts the remaining service life of the limited-life component, on a basis of comparison result; and displays the predicted remaining service life on a display device.