Thrust Bearing Monitoring for Turbocharger Axial Load Detection
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Solution Overview
Problem
Existing bearing condition monitoring devices are insufficient in detecting abnormalities in thrust bearings due to their reliance on temperature alone, which does not accurately account for the unique axial load dynamics and external influences in turbochargers, leading to low accuracy in abnormality detection.
Innovation Solution
A bearing condition monitoring device that includes temperature sensors and an arithmetic device to calculate the frequency of thrust load exceedance beyond allowable values, with additional sensors to account for external temperature, lubricant oil temperature, and rotation speed, adjusting evaluation indices and thresholds to improve detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only bearing temperature is monitored to detect abnormalities, then the monitoring system is simple, but the accuracy of abnormality detection is insufficient
Solution Approach 1:
The patent combines multiple monitoring functions into a single integrated system. The arithmetic device integrates temperature monitoring, thrust load calculation, fluctuation detection, and abnormality determination into one unified system, avoiding the need for separate independent monitoring systems while achieving high detection accuracy through multi-parameter analysis
Solution Approach 2:
The arithmetic device performs multiple functions: it monitors bearing temperature, calculates thrust load from temperature data, detects fluctuations in thrust load, determines abnormalities based on fluctuation frequency, and outputs diagnostic information. This multi-functional approach eliminates the need for separate dedicated devices for each monitoring task
2Reliability
If the monitoring system counts every exceedance of the allowable value, then sensitivity is high, but false positives increase
Solution Approach 1:
The system performs preliminary analysis by calculating the thrust load from temperature data and detecting fluctuations before making the final abnormality determination. The arithmetic device first processes the temperature data to identify thrust load fluctuations, then uses this intermediate result to determine whether an abnormality exists, filtering out transient noise before final diagnosis
Solution Approach 2:
The system uses feedback by continuously monitoring the thrust load fluctuation frequency and comparing it against predetermined thresholds. The arithmetic device counts the number of times fluctuations exceed the allowable value within a specific time period, and only declares an abnormality when this count exceeds the threshold, creating a self-regulating determination mechanism that reduces false positives
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy of abnormality detection in thrust bearings by considering multiple factors, reducing false positives and improving the reliability of monitoring systems.
Implementation Method 1
a first temperature sensor for measuring a temperature of the thrust bearing
Data Source
AI summary
A bearing condition monitoring device is a bearing condition monitoring device for monitoring a condition of a thrust bearing for holding a rotational shaft in a thrust direction. The bearing condition monitoring device includes a first temperature sensor for measuring a temperature of the thrust bearing, and an arithmetic device for counting a frequency at which an evaluation index of a thrust load on the basis of a measurement value by the first temperature sensor exceeds an allowable value, and for outputting an abnormality in the condition of the thrust bearing if the counted frequency exceeds a threshold. The arithmetic device may count, as the frequency, only a case where a state in which the thrust load exceeds an upper limit load continues for not less than a predetermined time.