Abnormality Prediction Using Audio and Vibration Trend Analysis

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Solution Overview

Problem

In equipment inspection and maintenance, users face difficulties in determining and predicting abnormal states of target devices due to the need for specialized knowledge and understanding of measurement data characteristics and sensor tendencies, and there is a desire to detect failures before they become significant.

Innovation Solution

An abnormality predicting system and method that includes data input, storage, abnormality degree calculation, evaluation, and display processing units to analyze audio or vibration data from target devices, allowing for easy determination and prediction of abnormal states by calculating and displaying abnormality degree transitions and failure occurrence predictions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If time axis waveform analysis and frequency axis waveform analysis are performed to determine abnormality, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improveabnormality determination accuracyVSAvoidanalysis system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the complex waveform analysis into distinct time axis analysis and frequency axis analysis components, allowing each to be processed independently and then integrated for comprehensive abnormality determination

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an abnormality determination device as an intermediary that automatically processes the complex analysis results and provides clear abnormality determinations, mediating between the complex analysis processes and the user

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If specialized knowledge is required for abnormality determination, then measurement precision is improved, but ease of operation deteriorates

Engineering Contradiction:
Improveabnormality determination accuracyVSAvoiduser operation simplicity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The abnormality determination device performs self-service by automatically executing the complex analysis processes and making abnormality determinations without requiring user expertise in waveform analysis or measurement data characteristics

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system acts as an intermediary that translates complex technical analysis into simple, interpretable results, allowing unskilled users to obtain accurate abnormality determinations without needing specialized knowledge

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If comprehensive waveform analysis is performed, then reliability is improved, but loss of time increases

Engineering Contradiction:
Improveabnormality determination reliabilityVSAvoidanalysis time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary action by continuously monitoring and analyzing waveforms in real-time, maintaining ready-to-use analysis results that can be quickly interpreted when abnormalities occur

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent divides the analysis into time axis and frequency axis components that can be processed in parallel, reducing overall analysis time while maintaining comprehensive reliability

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11703845B2Abnormality predicting system and abnormality predicting method
Publication Date: 2023.07.18 PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO LTD
  • US11703845B2 patent drawing
  • US11703845B2 patent drawing
  • US11703845B2 patent drawing

AI summary

An abnormality predicting system includes a processor and a memory having instructions. The instructions, when executed by the at least one processor, cause the at least one processor to execute operations including: inputting processing target data acquired from a target device; storing information related to an abnormality prediction of the processing target data; calculating an abnormality degree of the processing target data; executing processing related to the abnormality prediction including a failure occurrence prediction using a latest abnormality degree transition and a past abnormality degree transition of the processing target data; and generating a display screen for displaying a processing result including an abnormality degree transition and a result of the failure occurrence prediction.