Diverse Sensor System for Common Cause Fault Detection
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Solution Overview
Problem
Complex systems, such as automotive vehicles, face challenges in detecting faults caused by common causes like substrate issues, which can remain undetected due to identical reactions across the system, leading to reliability concerns.
Innovation Solution
A sensor system with increased diagnostic coverage is implemented, utilizing a main sensor element and a sub sensor element with diverse configurations, including different sensitivities, operating voltages, and measurement principles, to detect differences in response to external parameters like temperature and mechanical stress, allowing for the identification of common cause errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensor elements with identical configurations are used, then system simplicity is maintained, but diagnostic coverage for common cause faults remains insufficient
Solution Approach 1:
The sensor system is divided into multiple independent sensor elements (first sensor element and second sensor element) with different configurations. Each sensor element monitors specific parameters, allowing segmented diagnosis of common cause faults while maintaining overall system reliability without requiring complete system replacement.
Solution Approach 2:
Different sensor elements are assigned different local qualities through diverse configurations (different sensitivities, operating voltages, measurement principles). This allows each sensor to detect specific fault patterns, improving diagnostic coverage for common cause faults while keeping the overall system architecture manageable.
2Measurement precision
If sensor elements have diverse configurations with different sensitivities and operating voltages, then detection capability for common cause faults improves, but system complexity increases
Solution Approach 1:
The sensor elements utilize different parameter configurations including varying sensitivities, operating voltages, and measurement principles. This parameter diversity enables each sensor to detect specific fault patterns and common cause faults more effectively, improving measurement precision while the modular nature keeps complexity manageable.
3Reliability
If multiple sensor elements with different response characteristics are implemented, then error detection for common causes is enabled, but manufacturing complexity increases
Solution Approach 1:
The manufacturing process is segmented into independent sensor element fabrication and subsequent system assembly. Each sensor element can be manufactured and tested independently with different configurations, then assembled into the complete sensor system. This segmentation enables error detection capability while simplifying manufacturing by allowing parallel production and independent quality control.
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
This approach enhances the reliability of complex systems by enabling the detection of faults caused by substrate issues, improving the system's ability to assess its trustworthiness and maintain safety features.
Implementation Method 1
The first sensor element (100) and the second sensor element (200) may be implemented diversely in terms of a response to an external parameter
Data Source
AI summary
The present disclosure teaches a sensor system comprising at least two sensor elements causing increased reliability of individual sensor signals due to increased diagnostic coverage using diverse signal paths, diverse signal representations of sensor signals, merging of individual sensor signals maintaining independence of individual sensor signals comprised in protocol representations thereof.