Engine Sensor Diagnostic Procedure Using Measured-Expected Value Comparison
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Solution Overview
Problem
Modern engines require sophisticated diagnostic tools and procedures to diagnose issues, often necessitating extensive testing and replacement of sensors, which can be impractical in remote locations due to the complexity of systems and limited on-board diagnostic capabilities.
Innovation Solution
An engine diagnostic system that includes a control system, monitoring system, and diagnostic system configured to perform sensor health tests and telematics data analysis, allowing for remote data collection and analysis to determine sensor health by comparing measured values to expected values, reducing the need for unnecessary replacements and minimizing diagnostic time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If technicians use sophisticated diagnostic tools and multiple testing steps to diagnose engine problems, then diagnostic accuracy improves, but diagnostic time and complexity increase
Solution Approach 1:
The system performs preliminary sensor health assessments by continuously monitoring sensor data and comparing it to expected values during normal operation. This preliminary action identifies potentially faulty sensors before they cause engine problems, so when diagnostics are needed, the technician already has a shortlist of suspects rather than having to test all sensors systematically.
Solution Approach 2:
The diagnostic process is segmented into two phases: continuous background monitoring that assesses sensor health over time, and on-demand diagnostic testing when problems occur. This segmentation allows the system to accumulate diagnostic information during normal operation, reducing the time needed for actual problem diagnosis.
2Reliability
If technicians carry replacement parts to remote locations, then repair readiness improves, but travel burden and cost increase
Solution Approach 1:
The engine system performs self-diagnosis by continuously monitoring its own sensor health and comparing measurements to expected values. This self-service capability identifies faulty sensors before failure occurs, allowing the system to alert operators to potential issues without requiring external diagnostic intervention or part replacement.
Solution Approach 2:
The system performs preliminary identification of faulty sensors during normal operation, generating alerts before actual failures occur. This allows fleet operators to plan maintenance during scheduled downtime rather than requiring technicians to travel to remote locations with replacement parts ready.
3Reliability
If sensors are replaced preemptively to eliminate potential causes, then system reliability improves, but unnecessary part replacement and cost increase
Solution Approach 1:
The system replaces physical sensor replacement with virtual sensor monitoring and health assessment. By continuously comparing sensor readings to expected values and analyzing sensor performance over time, the system digitally identifies faulty sensors without requiring physical intervention or replacement until confirmation of failure.
Solution Approach 2:
The system implements continuous feedback monitoring of sensor performance by comparing actual sensor readings against expected values calculated from engine operating conditions. This feedback loop provides ongoing assessment of sensor health, allowing the system to distinguish between normal variation and actual sensor failure, thereby preventing unnecessary replacements.
Data Source
AI summary
An engine diagnostic system includes a control system having a controller operatively connected to an engine. A monitoring system has a sensor operatively connected to the engine. A diagnostic system is operatively connected to the engine. The diagnostic system is configured to implement a sensor diagnostic procedure that includes a sensor health test. The sensor health test includes comparing a measured value of a sensor to an expected value and determining the health of the sensor based on the difference between the measured value and the expected value. The sensor diagnostic procedure can also include telematics data analysis.