Vibro-Acoustic Signal Analysis for Real-Time Machine OEE
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Solution Overview
Problem
Current machinery monitoring techniques are inadequate in estimating operational parameters such as uptime, production speed, and production quality, which are crucial for determining overall equipment effectiveness (OEE), leading to inefficiencies in productivity and quality control.
Innovation Solution
A method and system utilizing a vibro-acoustic sensor to acquire and analyze signals from machinery, estimating operational parameters like uptime, production speed, and production quality by classifying root mean square values, demodulating signals, and comparing vibro-acoustic signatures against baselines, with a processor computing OEE in real-time and providing alerts for declining trends.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vibrational and acoustic monitoring techniques are used, then machinery monitoring is performed, but operational parameters such as uptime, production speed, and production quality cannot be accurately estimated
Solution Approach 1:
The patent segments the monitoring task into three distinct operational parameter estimations (uptime factor, production speed factor, production quality factor) that are then combined to calculate OEE. Each parameter is extracted from different characteristics of the vibro-acoustic signal through specialized analysis methods.
Solution Approach 2:
The patent introduces vibro-acoustic signal analysis as an intermediary method to bridge the gap between traditional monitoring and operational parameter estimation. By analyzing vibration and acoustic characteristics, the system indirectly measures parameters like uptime, speed, and quality without direct sensor contact with moving parts.
2Reliability
If multiple operational parameters are estimated to compute OEE, then comprehensive equipment effectiveness is achieved, but system complexity increases
Solution Approach 1:
The patent makes the vibro-acoustic sensor system multi-functional by using a single sensor type to perform multiple measurement tasks: detecting uptime through presence/absence of vibration, measuring production speed through frequency analysis, and assessing quality through signal characteristic analysis. This universal approach reduces the need for multiple specialized sensors while maintaining comprehensive monitoring capability.
3Productivity
If real-time OEE estimation is performed, then productivity improvement is enabled, but computational resources and processing time increase
Solution Approach 1:
The patent performs preliminary action by continuously analyzing vibro-acoustic signals in real-time to extract operational parameters, rather than performing batch processing after production. This allows OEE to be calculated and acted upon immediately, enabling real-time productivity improvements and proactive maintenance decisions.
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
This approach enables real-time estimation of OEE, improving productivity and quality control by identifying trends and issues, allowing for proactive maintenance and optimization of manufacturing processes.
Implementation Method 1
acquiring, by a vibro-acoustic sensor in a vicinity of a machine, vibro-acoustic signals due to an operation of the machine
Implementation Method 2
acquiring, by a vibro-acoustic sensor in a vicinity of a machine, vibro-acoustic signals due to an operation of the machine
Data Source
AI summary
A method includes acquiring, by a vibro-acoustic sensor in a vicinity of a machine, vibro-acoustic signals due to an operation of the machine. The acquired vibro-acoustic signals are analyzed so as to estimate at least two operational parameters of the machine, selected from a group of the operational parameters consisting of an uptime factor, a production speed factor, and a production quality factor of the machine. An overall equipment effectiveness (OEE) of the machine is computed, the computed OEE including at least one of a minimum and a product of the at least two estimated operational parameters.