Torque Sensor Calibration Verification for Rotating Drive Systems
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Solution Overview
Problem
Existing torque measurement systems in rotating drive shafts lack accuracy and safety, particularly in critical applications, due to potential mismatches in sensor and target calibration data, which can lead to erroneous readings and safety failures.
Innovation Solution
A system comprising a target assembly with sensor targets and a sensor assembly with sensors, along with a sensor processing unit that verifies calibration data for both, ensuring accurate torque measurement by matching calibration data with the installed assemblies, and allowing for easy interchangeability and verification of calibration files.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If torque measurement systems use sensor assemblies and target assemblies without verification of calibration data matching, then the system is simpler to operate and components are easier to replace, but the measurement accuracy deteriorates and safety risks increase due to potential calibration mismatches
Solution Approach 1:
The system performs calibration verification in advance before torque measurement begins. The sensor processing unit compares verification data from the installed sensor assembly and target assembly with stored calibration data to ensure proper matching before the measurement system becomes operational, preventing erroneous measurements due to calibration mismatches
Solution Approach 2:
The system implements a feedback mechanism where the sensor processing unit continuously monitors and verifies calibration data consistency between sensor assemblies, target assemblies, and stored calibration records. This feedback loop ensures measurement accuracy by detecting and alerting to calibration mismatches that could compromise torque measurement precision
2Reliability
If the system implements verification of calibration data correspondence, then measurement reliability improves, but the ease of operation deteriorates due to additional verification steps required
Solution Approach 1:
The system performs self-verification of calibration data automatically without requiring manual intervention. The sensor processing unit independently compares verification data from installed components with stored calibration data, enabling the system to self-check and self-validate calibration integrity, thereby maintaining reliability while minimizing operational complexity
Solution Approach 2:
Calibration verification is performed automatically as a preliminary step during system initialization or component replacement, before normal torque measurement operations begin. This preliminary automated verification ensures reliability is maintained while requiring minimal operator involvement, as the system handles the verification process autonomously
3Object-affected harmful factors
If calibration data verification is implemented for sensor and target assemblies, then safety improves by preventing erroneous readings, but the device complexity increases due to additional verification mechanisms
Solution Approach 1:
The sensor processing unit implements a feedback mechanism that automatically verifies calibration data consistency between sensor assemblies, target assemblies, and stored calibration records. This feedback loop detects calibration mismatches that could lead to erroneous torque readings, preventing harmful measurement errors while maintaining system safety
Solution Approach 2:
The system replaces complex manual calibration verification procedures with automated electronic verification mechanisms. The sensor processing unit electronically compares verification data from installed components with stored calibration data, substituting manual mechanical verification processes with automated electronic validation to reduce overall system complexity while maintaining safety
4Adaptability or versatility
If the system allows easy replacement of target assemblies and sensor assemblies, then adaptability improves, but measurement precision deteriorates due to potential calibration data mismatches
Solution Approach 1:
Before allowing torque measurement operations with replaced components, the system performs preliminary verification of calibration data correspondence. The sensor processing unit checks whether calibration data for the installed sensor assembly and target assembly match stored reference data, ensuring measurement precision is maintained even after component replacement
Solution Approach 2:
The system implements feedback verification that automatically detects calibration mismatches resulting from component replacement. The sensor processing unit monitors calibration data consistency and alerts operators to any discrepancies, ensuring that adaptability through component interchangeability does not compromise measurement accuracy
Data Source
AI summary
Systems and methods for measuring torque on a drive train component of a rotating drive system are disclosed. In some aspects, a system includes a target assembly, a sensor assembly, and a sensor processing unit. The sensor assembly is located proximate to the target assembly, and the sensor assembly includes sensors mounted radially around the shaft and configured to detect sensor targets as the target assembly rotates with the drive train component. The sensor processing unit is configured for receiving sensor signals from the sensor assembly and outputting a torque signal based on the sensor signals. The sensor processing unit is configured for receiving target calibration data for the target assembly and sensor calibration data for the sensor assembly. The sensor processing unit is configured for verifying that the target calibration data corresponds to the target assembly and that the sensor calibration data corresponds to the sensor assembly.