bhupeshmahara / sensor-fault-detection

In Progress - Identifying whether the brakes failure is happened due to APS or not

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.

This is a Binary Classification problem, in which the affirmative class indicates that the failure was caused by a certain component of the APS, while the negative class indicates that the failure was caused by something else.

Solution Proposed

In this project, the system in focus is the Air Pressure system (APS) which generates pressurized air that are 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.

The problem is to reduce the cost due to unnecessary repairs. So it is required to minimize the false predictions.

Steps Involved

Step 1 : clone the repository

git clone https://github.com/bhupeshmahara/sensor-fault-detection.git

Step 2 : create a conda environment

conda create --prefix venv python=3.8 -y

Step 3 : activate environment

conda activate venv/

Step 3 : install the requirements

pip install -r requirements.txt