Sensor Fault Detection

Problem Statement

The Air Pressure System (APS) is a critical component of a heavy-duty vehicle that uses compressed air to force a piston to provide pressure to the brake pads, slowing the vehicle down. The benefits of using an APS instead of a hydraulic system are the easy availability and long-term sustainability of natural air.

Solution Proposed

In this project, the system in focus is the Air Pressure System (APS) which generates pressurized air that is utilized in various functions in a truck, such as braking and gear changes. The datasets' positive class corresponds to component failures for a specific component of the APS system. The negative class corresponds to trucks with failures for components not related to the APS system.

Tech Stack Used

Python
FastAPI
Machine Learning Algorithms
Docker
MongoDB

Infrastructure Required

AWS S3
AWS EC2
AWS ECR
Git Actions
Terraform

Data Collections

Diagram illustrating the process of data collection from various sensors and its flow into the system.

Project Architecture

High-level overview of the project architecture, showing the interaction between different components and data flow.

Deployment Architecture

Deployment architecture detailing how the system is deployed in a production environment using various AWS services.