Bearing Remaining-Life Estimation from Electric-Machine Misalignment
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Solution Overview
Problem
Conventional methods fail to detect and estimate the severity of misalignment between a motor and its driven equipment during operation, leading to unnoticed impacts on the drive-end bearing's remaining useful life and increased downtime.
Innovation Solution
A system and method for real-time misalignment-based remaining useful life estimation of a bearing, utilizing operational data analysis, virtual modeling, and regression models to predict bearing life based on misalignment, eliminating the need for manual intervention and multiple sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If flexible couplings are used to tolerate misalignment, then the coupling can accommodate misalignment between motor and driven equipment, but the drive-end bearing is still severely impacted by dynamic forces from misalignment
Solution Approach 1:
The system continuously monitors operational parameters (vibration, current, temperature) and uses this feedback to detect misalignment conditions in real-time. The monitoring system provides ongoing information about the coupling and bearing state, enabling proactive detection of misalignment that flexible couplings cannot prevent, thus protecting bearing reliability while maintaining coupling adaptability
Solution Approach 2:
The patent replaces mechanical alignment measurement methods with sensor-based detection systems that use vibration sensors, current sensors, and temperature sensors coupled with signal processing algorithms. This substitution enables precise detection of misalignment effects on bearings without relying solely on mechanical coupling design, allowing for early warning and maintenance planning
2Measurement precision
If misalignment detection is performed during maintenance phase, then misalignment severity can be estimated, but additional downtime is incurred
Solution Approach 1:
The system performs preliminary detection of misalignment during normal operation using continuously monitored operational parameters. By detecting misalignment trends before they reach critical levels, the system enables planned maintenance scheduling rather than unexpected breakdowns or mandatory shutdowns for inspection, thus maintaining measurement precision while minimizing downtime
Solution Approach 2:
The monitoring system operates continuously during motor operation, providing uninterrupted detection of misalignment conditions. This continuous monitoring replaces periodic maintenance-phase inspections, ensuring that useful detection action continues without interruption while eliminating the need to stop equipment for misalignment assessment
3Measurement precision
If multiple sensors are used for measurement of operational parameters, then measurement accuracy improves, but device complexity increases
Solution Approach 1:
The system uses multi-functional sensors and signal processing that extract multiple operational parameters from single sensor measurements. For example, vibration signals are analyzed to detect misalignment, bearing defects, and coupling conditions simultaneously. Current signatures provide information about both electrical performance and mechanical misalignment. This universal approach maintains measurement precision while reducing the number of separate sensors and measurement systems required
Solution Approach 2:
The patent combines multiple measurement approaches into an integrated monitoring system that fuses data from vibration sensors, current sensors, and temperature sensors through signal processing algorithms. By merging these measurement streams and analyzing them collectively, the system achieves comprehensive operational parameter measurement with reduced overall system complexity compared to separate dedicated measurement systems for each parameter
Data Source
AI summary
A system and method for estimating remaining useful life of a bearing associated with an electric machine is provided. The electric machine is configured to transfer rotational energy to a load via a shaft supported by the bearing. The method includes obtaining operational data associated with the electric machine in real-time from one or more sources. Further, the operational data is analyzed to detect a misalignment of the shaft of the electric machine. Upon detecting the misalignment, using a virtual model of at least the electric machine to simulate a real-time behaviour of at least the electric machine is simulated to achieve a simulation result indicative of a misalignment value corresponding to the misalignment of the shaft. Further, a remaining useful life of the bearing is predicted based on the misalignment value.