Motor Acceleration Sensing for Automatic Machine Cycle Wear Detection
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Solution Overview
Problem
Existing motor monitoring systems require significant operator effort to define and adjust the machine cycle, leading to potential errors and inefficiencies in wear recognition, especially when the cycle changes, which can result in unreliable predictive maintenance.
Innovation Solution
The electronic control unit automatically recognizes the machine cycle based on periodically occurring patterns in the motor's acceleration data, eliminating the need for predefined settings and allowing for dynamic threshold adjustments, thereby simplifying the wear recognition process without operator intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the machine cycle is predefined or programmed manually, then the wear recognition can consider the machine cycle in the comparison, but the operator effort and time required increase significantly
Solution Approach 1:
The sensor system automatically recognizes the machine cycle by analyzing periodically occurring patterns in the acceleration data without requiring manual programming or teaching procedures. The system self-configures by detecting the periodic movement patterns inherent in the motor operation, eliminating the need for operator intervention while maintaining accurate wear recognition that considers the machine cycle.
2Adaptability or versatility
If the machine cycle is taught through a teaching procedure, then the sensor system can adapt to the specific machine cycle, but the complexity of operation increases
Solution Approach 1:
The system automatically adapts to any machine cycle by analyzing the periodic patterns in acceleration data. No teaching procedure or manual configuration is needed—the system self-adapts by detecting the inherent periodicity in motor operation, making it equally versatile across different machine cycles while maintaining operational simplicity.
Solution Approach 2:
The manual teaching and configuration process is replaced by an automated signal processing approach. The electronic control unit analyzes acceleration patterns to automatically identify machine cycle characteristics, substituting the mechanical/manual configuration process with an automated computational method that achieves the same adaptability without the operational complexity.
3Measurement precision
If manual configuration is required for machine cycle definition, then threshold values can be precisely adjusted, but input errors and teach-in errors occur
Solution Approach 1:
The system automatically determines appropriate threshold values based on the detected machine cycle patterns, eliminating manual threshold configuration. This self-service approach prevents input errors and teach-in errors while maintaining measurement precision, as the thresholds are derived objectively from the actual operational data rather than subjective manual settings.
4Reliability
If the sensor system continuously monitors acceleration, then wear can be detected reliably, but the data processing complexity increases
Solution Approach 1:
The system leverages the periodic nature of machine cycles to simplify data processing. By analyzing acceleration data in relation to the detected periodic machine cycle patterns, the system can identify wear indicators at specific phases of the cycle without needing to process every data point continuously. This periodic approach maintains reliable wear detection while reducing processing complexity compared to continuous analysis of all data.
Data Source
AI summary
A sensor system for monitoring a motor that drives a machine arrangement via a rotating motor shaft, wherein a machine cycle is given by a periodic movement pattern of the machine arrangement and/or of the motor shaft, comprises an acceleration sensor for detecting an acceleration of the motor; and an electronic control unit that is in signal connection with the acceleration sensor and that is configured to carry out a comparison of the detected acceleration with at least one predefined threshold value for a wear recognition and to consider the machine cycle in the comparison. The electronic control unit is configured to automatically recognize the machine cycle based on a periodically occurring pattern in the time development of the detected acceleration of the motor.