Transmission System Fault Detection Using Tree-Based Machine Learning Models

R2026b

Since R2026b

This example shows a requirements-driven workflow for training, verifying, and validating tree-based fault detection models for an automotive transmission system using MATLAB^®, Statistics and Machine Learning Toolbox™, AI Verification Library for Deep Learning Toolbox™, and more. The workflow aligns model development with safety expectations and supports deployment to production embedded systems.

Fault detection is one of the most common applications of machine learning in the automotive industry. Tree-based models—such as decision trees, random forests, and gradient-boosted tree ensembles—are widely used for detecting abnormal behavior in complex subsystems, including automatic and hybrid transmission systems. These models are popular due to their robustness and strong performance on structured sensor data.

When embedding tree-based and other AI models into production vehicles, automotive manufacturers must comply with functional safety and AI assurance standards. Standards include ISO 26262 (functional safety), ISO 21448 (Safety of the Intended Functionality, SOTIF), ISO/IEC 23894 (AI risk management), ISO PAS 8800 (AI safety standard for automotive systems), and emerging AI-focused standards. These standards emphasize not only model performance, but also traceability, transparency, verification, and validation throughout the machine learning lifecycle.

This example shows how to perform the following steps for an automotive transmission system:

1. Define Requirements for Transmission System Fault Detection

2. Generate Data and Segment Signals for Transmission System Fault Detection

3. Extract Features and Partition Data for Transmission System Fault Detection

4. Perform Feature Selection and Model Training for Transmission System Fault Detection

5. Assess Stability of Models for Transmission System Fault Detection

6. Import and Verify Models in Simulink for Transmission System Fault Detection

7. Generate C Code for Inference Models Used in Transmission System Fault Detection