This python code performs data analysis and visualization for vibration (VIB_LAT), shock (SHK_LAT), and nitrogen flow rate (N2_RATE) data from multiple jobs. The jobs are categorized into failed jobs and intact jobs and further grouped into motor and turbine categories.

Machine Learning-based Sensor Fault Detection system using NASA CMAPSS dataset with Streamlit deployment.

Machine Learning project on sensor fault detection using advanced model training and prediction pipelines with Flask deployment.

An end-to-end machine learning system for detecting faulty sensor readings across multiple IoT sensors using a unified pipeline and Streamlit interface.