Brake Component Failure Prediction Using Sensor Frequency Patterns
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Solution Overview
Problem
Current brake system monitoring technologies are inadequate in predicting future functional impairments or failures of brake system components, particularly in vehicles with automated driving systems, as they do not account for specific driving behaviors and rely on conventional sensors that cannot detect early signs of aging or defects effectively.
Innovation Solution
A prediction device and method that utilize a communication system to transmit and compare frequency distributions of brake system component data, filtering out anomalous data points, and analyzing these distributions to predict potential functional impairments by correlating input and output variables from sensors, enabling early diagnosis and improved reliability in brake system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional sensors are used for brake system monitoring, then the system structure remains simple, but the ability to predict future functional impairments is insufficient
Solution Approach 1:
The system performs preliminary actions by collecting and storing operational data from sensors before failures occur. It analyzes frequency distributions of input and output variables to detect early signs of functional impairment, enabling prediction and preventive maintenance before actual failures happen.
Solution Approach 2:
The system introduces an intermediary analysis layer that processes sensor data through frequency distribution analysis. This intermediary layer correlates input variables (e.g., brake pedal position) with output variables (e.g., brake pressure) to detect deviations indicating potential failures, without requiring direct modification of the brake system hardware.
2Measurement precision
If existing sensor data is used without additional sensors, then the device complexity is reduced, but the measurement precision for predicting functional impairments is limited
Solution Approach 1:
The system utilizes existing sensor infrastructure to serve the additional function of failure prediction. By analyzing frequency distributions of data already collected by conventional sensors (such as brake pedal position sensors and pressure sensors), the system extracts predictive information without requiring additional sensing hardware.
Solution Approach 2:
The system transforms existing sensor data by analyzing frequency distributions and correlations between parameters. Instead of merely monitoring absolute values, it examines statistical patterns and relationships between input and output variables over time, extracting predictive information through parameter transformation rather than additional measurement.
3Reliability
If frequency distribution analysis is performed to detect early signs of aging, then the prediction capability is improved, but the data processing complexity increases
Solution Approach 1:
The system applies partial analysis by focusing on frequency distributions of specific critical parameters rather than processing all available data comprehensively. It selectively analyzes correlations between key input and output variables to detect early signs of functional impairment, balancing analytical depth with computational efficiency.
Data Source
AI summary
A prediction device for at least one brake system component of a brake system of a vehicle. The prediction device is configured to enter provided value pairs, which respectively have values ascertained during several driver-induced and/or autonomous braking processes of the vehicle and respectively comprise an ascertained input variable and a simultaneously ascertained output variable, into a coordinate system, divided into several state sectors, with the first axis indicating the input variable and the second axis indicating the output variable; to ascertain a frequency distribution of the value pairs to the various state sectors; and, after at least two ascertainments of frequency distributions for value pairs ascertained in different time intervals, to estimate whether an occurrence of at least one functional impairment on at least one brake system component of the brake system is probable during a specified prediction time interval.