Sound Diagnosis System for Abnormal Noise Source Identification
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Solution Overview
Problem
Existing sound diagnosis systems struggle to identify the source of abnormal noise in devices with multiple sound sources, as they cannot specify which component is emitting the abnormal noise, especially in noisy environments with various frequency components.
Innovation Solution
A sound diagnosis system that includes a sound collector, a total sound pressure calculator, a peak detector, a peak classifier, a cycle calculator, and a region identifier, which analyze sound data to calculate total sound pressure, detect peak timings, cluster peak timings, calculate sound cycles, and identify components emitting sounds with matching cycles, thereby specifying the source of abnormal noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a sound diagnosis device picks up sounds in a noisy environment with multiple sound sources, then the device can capture comprehensive acoustic information, but it becomes impossible to specify the source of abnormal noise
Solution Approach 1:
The patent segments the mixed sound signal into individual frequency components using Fourier transform, then analyzes each frequency component separately to identify which specific component corresponds to abnormal noise from a particular motor or component
Solution Approach 2:
The patent introduces frequency analysis as an intermediary method to bridge the gap between capturing mixed sounds and identifying specific sources. By transforming the sound signal into the frequency domain, the system can isolate and identify abnormal noise sources that would otherwise be indistinguishable in the time domain
2Adaptability or versatility
If a device includes multiple motors or sound-emitting components, then the device functionality is enhanced, but the service engineer cannot identify which component is emitting abnormal noise
Solution Approach 1:
The system segments the overall sound signal into frequency components associated with individual motors or components. By analyzing the frequency spectrum and identifying which frequency bands correspond to abnormal noise, the system can pinpoint the specific component causing the issue among multiple sound sources
Solution Approach 2:
The patent replaces the manual mechanical approach of listening and identifying noise sources with an automated electronic sound analysis system that uses signal processing and frequency analysis to automatically identify abnormal noise sources
3Ease of operation
If existing sound diagnosis techniques are used in environments with multiple sound sources, then the diagnosis process is simplified, but the source of abnormal noise cannot be specified
Solution Approach 1:
The patent introduces frequency domain analysis as an intermediary step that preserves noise source information while maintaining ease of operation. The system automatically performs Fourier transform and frequency spectrum analysis to extract source identification information that would otherwise be lost in mixed sounds
Data Source
AI summary
A sound diagnosis system includes: a sound collector acquiring a sound emitted by a device; a total sound pressure calculator that analyzes a sampling result of the sound and calculates a total sound pressure of a sound of each frequency included in each timing of the sampling result; a peak detector that detects a plurality of peak timings from the total sound pressure; a peak classifier that clusters the plurality of peak timings; a cycle calculator that calculates a cycle of a sound included in each cluster based on the frequency and/or each total sound pressure; a region identifier that identifies at least one component that emits a sound having a cycle close to any of cycles of sounds included in each cluster; and a display that displays the at least one identified component.