Appliance Power Signal Analysis for Degradation Detection
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Solution Overview
Problem
Current power monitoring devices lack the ability to effectively detect and classify appliance degradation states, which can lead to premature failure and increased maintenance costs, as they rely on additional sensors and complex analysis of temperature and vibration data.
Innovation Solution
An appliance operation signal processing system that utilizes machine learning classifiers to analyze electrical power signals, transforming pre-event and post-event signal portions into frequency and time domains to determine probability of degradation states, allowing for early detection and prevention of appliance failures without additional sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional sensors and complex analysis methods are used to detect appliance degradation, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts and analyzes only the essential electrical power consumption signal characteristics (magnitude, frequency, harmonics) that contain degradation information, eliminating the need for additional sensors while maintaining detection accuracy through focused analysis of the existing electrical signal
Solution Approach 2:
The patent replaces physical sensors (temperature, vibration sensors) with electrical signal analysis, substituting mechanical/physical measurement systems with electronic signal processing that analyzes power consumption patterns to detect degradation states
2Reliability
If additional sensors are installed to monitor appliance conditions, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent makes the existing electrical power monitoring system multi-functional by enabling it to detect not only power consumption but also appliance degradation states, operational status, and maintenance needs through analysis of electrical signal characteristics, eliminating the need for separate dedicated sensors
Solution Approach 2:
The appliance effectively monitors itself through its inherent electrical power consumption patterns, using its own operational characteristics as the monitoring signal, which eliminates the need for external monitoring hardware and reduces system complexity
Data Source
AI summary
An appliance operation signal processing system including an input for receiving an appliance operation signal. The appliance operation signal includes information relating to operation of an appliance. The system further includes an output for outputting information relating to degradation of the appliance and a processor configured to determine a probability that the appliance or a component of the appliance is in at least one degradation state by applying a classifier to a feature vector including information relating to frequency data extracted from the appliance operation signal.