Motion Axis Health Detection in Medical Linear Accelerators
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Solution Overview
Problem
Medical linear accelerators face safety hazards and unexpected shutdowns due to motor slippage, worn components, failed sensors, and improper calibration of motion axes, which affect the health detection and operational capability of these systems.
Innovation Solution
A method and system for automatically detecting the health of motion axes in medical linear accelerators using computer-controlled motion axes, which involves establishing baseline values for motor torque, position, and velocity parameters, and comparing them to detect deviations and generate warnings or notifications for potential faults.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motor and sensor components are used in motion axes, then the operational capability and positioning precision are improved, but the risk of component failure, slippage, and wear increases leading to safety hazards and unexpected shutdowns
Solution Approach 1:
The system performs preliminary health detection by establishing baseline values for motor torque, position, and velocity parameters before failures occur. The controller continuously monitors these parameters and compares them against baselines to detect deviations indicating potential failures, enabling preventive maintenance before actual component failure happens.
Solution Approach 2:
The system implements continuous feedback monitoring of motor electrical parameters (torque, position, velocity) during motion axis operation. The controller receives feedback signals from feedback devices and compares actual parameter values against established baselines, generating warnings when deviations indicate potential failures, thus creating a closed-loop reliability monitoring system.
2Reliability
If continuous monitoring of motion axis parameters is implemented, then the detection of potential failures is improved, but the system complexity and computational requirements increase
Solution Approach 1:
The controller performs multiple functions: it controls motion axis operation, establishes baseline parameter values, continuously monitors actual parameter values, compares them against baselines, and generates warnings. By consolidating these diverse functions into a single controller, the system avoids the complexity of separate dedicated hardware for each function while maintaining comprehensive monitoring capability.
Solution Approach 2:
The system monitors changes in electrical parameters (torque, position, velocity) of the motor rather than adding physical sensors for each parameter. By leveraging existing feedback devices and monitoring electrical parameter variations, the system achieves comprehensive health detection without proportionally increasing hardware complexity.
Data Source
AI summary
In a method of detecting the health of a motion axis in a radiation system including a motor operable to move a load between a first end and a second end, data on an electrical parameter of the motor is collected as the motor moves in the certain range. At least one indicator of the electrical parameter including a maximum, a minimum, an average, and a standard deviation of the electrical parameter is determined and compared with a provided value or range of values indicative of the health of the axis. The health of the motion axis is determined using the comparison of the at least one indicator and the provided value or range of values.