Electric Motor Fault Monitoring With Sensor-Based Component Isolation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electric motor drive systems lack the capability to accurately determine which components are malfunctioning when a fault condition occurs, often leading to inefficient operation and prolonged downtime.
Innovation Solution
A motor controller system that includes an inverter, sensors, and a processor, which transmits control signals to the inverter and receives sensor signals to detect fault conditions in the electric motor and other components, allowing for precise identification of malfunctioning parts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a drive circuit with inverter is used to enable efficient operation at both high and low load conditions, then operational efficiency is improved, but the ability to determine which component is malfunctioning when a fault occurs deteriorates
Solution Approach 1:
The system segments the fault detection capability by assigning specific sensors to monitor specific components (motor controller, inverter, induction motor). Each sensor or sensor group is dedicated to detecting faults in a particular component, allowing the system to maintain comprehensive monitoring while identifying the exact location of failures. This segmentation resolves the contradiction by preserving fault location information despite the complexity of the drive circuit.
Solution Approach 2:
The patent introduces sensors as intermediary devices between the drive system components and the control system. These sensors act as mediators that detect abnormal conditions in specific components and transmit this information to the processor. This intermediary layer enables precise fault identification without requiring changes to the core drive circuit architecture, thus maintaining operational efficiency while improving diagnostic capability.
2Measurement precision
If multiple sensors are added to detect fault conditions in different components, then fault identification accuracy is improved, but device complexity increases
Solution Approach 1:
The processor in the system performs multiple functions: it controls the inverter for motor operation, processes sensor signals from multiple sensors, and identifies fault conditions in different components. By making the processor multi-functional, the system achieves high fault identification accuracy without proportionally increasing overall system complexity. The single processor handles diverse tasks that would otherwise require separate dedicated units.
Solution Approach 2:
The patent combines multiple sensor signals and processing functions into a unified system architecture. Multiple sensors monitoring different components (motor controller, inverter, induction motor) are integrated into a single processing framework where the processor analyzes all inputs and determines fault locations. This merging approach achieves comprehensive monitoring and high diagnostic accuracy while avoiding the complexity of completely separate independent monitoring systems.
Data Source
AI summary
A motor controller for an electric motor is provided. The motor controller includes an inverter configured to supply current to stator windings of the electric motor. The motor controller further includes a plurality of sensors configured to generate a sensor signal in response to detecting a parameter. The sensor signal represents a measured parameter. The motor controller further includes a processor coupled in communication with the inverter and with the plurality of sensors. The processor is configured to, in a first mode, transmit a control signal to the inverter to operate the electric motor at a first frequency. The processor is further configured to receive the sensor signal from the plurality of sensors. The processor is further configured to determine a first fault condition is present at the electric motor based on the measured parameter represented by the sensor signal.