Appliance Acoustic Self-Diagnostics Using Spectrogram Comparison
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Solution Overview
Problem
Appliances such as refrigerators experience performance degradation over time, and users often face delays in service technician availability for diagnostics, with existing systems lacking user-friendly diagnostic capabilities.
Innovation Solution
An appliance equipped with an acoustic sensor and controller that performs self-diagnostic routines by commanding activated and deactivated states of components, generating spectrograms, and comparing them to baseline conditions to determine operating conditions, facilitating user-driven diagnostics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If service technicians are used to perform appliance diagnostics, then diagnostic accuracy is improved, but service availability and response time deteriorate due to technician busy schedules
Solution Approach 1:
The appliance performs self-diagnostics by automatically executing diagnostic routines that activate components, capture acoustic signals, generate spectrograms, and compare them to baseline data. This eliminates the need for external service technicians for routine diagnostics, providing immediate results without scheduling delays while maintaining diagnostic accuracy through automated analysis
2Ease of operation
If automated diagnostic systems are implemented at the appliance, then service availability is improved, but system complexity increases
Solution Approach 1:
The controller serves multiple functions: it controls normal appliance operation, manages diagnostic routines, processes acoustic signals, generates spectrograms, and performs data comparison. By consolidating these functions into the existing controller rather than adding separate dedicated hardware, the system achieves comprehensive diagnostic capability while minimizing additional complexity
Solution Approach 2:
The system replaces manual mechanical diagnostics performed by technicians with automated electronic and acoustic analysis. The controller electronically activates components, captures acoustic emissions digitally, and uses computational algorithms for spectrogram generation and comparison, substituting physical manual inspection with automated sensor-based detection
3Reliability
If acoustic sensors and spectrogram analysis are used for diagnostics, then diagnostic capability is improved, but device complexity and cost increase
Solution Approach 1:
The acoustic sensor serves as an intermediary that converts physical component operation into detectable acoustic signals. These signals are then processed through spectrogram analysis to reveal diagnostic information. The sensor acts as a bridge between mechanical component operation and electronic analysis, enabling non-intrusive detection of component conditions without direct electrical contact or disassembly
4Adaptability or versatility
If users can perform diagnostics themselves, then service technician dependency is reduced, but user technical knowledge requirements increase
Solution Approach 1:
The system enables users to initiate and complete diagnostic routines independently through simple interface interactions. The controller automatically executes the entire diagnostic process including component activation, signal capture, spectrogram generation, and result interpretation, requiring minimal user technical knowledge while empowering users to perform diagnostics without technician assistance
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
Enables users to perform timely diagnostics and maintenance recommendations, reducing reliance on service technicians and improving appliance performance monitoring.
Implementation Method 1
an acoustic sensor configured to obtain an acoustic signal relative to the plurality of appliance components
Implementation Method 2
generating a current-state spectrogram from the current-state acoustic signal; determining an operating condition of the plurality of appliance components commanded to the activated state based at least on comparing the current-state spectrogram to a baseline spectrogram
Data Source
AI summary
An appliance and method for appliance diagnostics is provided. The appliance includes a controller configured to cause the appliance to perform operations. The operations include obtaining an ambient acoustic signal external to the appliance; performing a diagnostic routine, wherein the diagnostic routine commands an activated state of one or more appliance components of the plurality of appliance components, and wherein the diagnostic routine commands a deactivated state of a remaining one or more appliance components; obtaining a current-state acoustic signal relative to the plurality of appliance components commanded to the activated state; generating a current-state spectrogram from the current-state acoustic signal; determining an operating condition of the plurality of appliance components commanded to the activated state based at least on comparing the current-state spectrogram to a baseline spectrogram corresponding to activated appliance component; and generating a communication signal based on the determined operating condition of the plurality of appliance components.