Causal Inference for Multi-Fault Satellite Failures

Custom-trained YOLOv11 model for industrial fault detection in manufacturing environments.

Electrical diagnostics utility for analysing 230V RMS voltage behaviour and detecting instability patterns.

A ROS 2 multi-node health monitoring system demonstrating real-time state estimation, fault detection, and telemetry logging in autonomous distributed systems. Implements the Sense-Think-Act architecture pattern with full Docker containerization.Built as a learning project

Code, configuration templates, and documentation for the "Deep Learning Models for Fault Analysis in Power System Protection" paper

Production-ready ML/AI HVAC monitoring system with real-time simulation, fault detection, and session persistence

Open-source framework for detecting Silent Data Corruption (SDC) in production GPU/accelerator clusters

This repository contains the implementation of a study that addresses operational challenges in wind turbine fault detection by comparing static thresholds (ISO 10816-21) with a hybrid unsupervised machine learning model using Variational Autoencoder (VAE) and Isolation Forest (IF).

PCA for multivariate statistical process monitoring.

Implementation of Rough Sets Theory-based fault detection for refrigeration systems using real-world IoT sensor data. This repository supports the research article "Detection and prediction of refrigeration equipment failures using rough sets theory and the Internet of Things.

RUL prediction and fault detection on NASA CMAPSS · IEEE TIE/TII benchmarks

A wrapper for connecting to Ecorithm's API Platform through Python

Fault Detection System Development at eParampara Technologies (Test Repo)

UAV propeller fault detection using 1D-CNN, FFT, Stacked LSTM for RUL prediction. ROS2 real-time diagnostics. 98.4% accuracy.

Enhance the multi-head attention mechanism by integrating an LSTM for multirotor fault detection.

AI fault detection in inverters and motor drives · IEEE JESTPE/TIE

End-to-end industrial fault diagnosis on the Tennessee Eastman Process using leakage-safe validation and temporal feature engineering.

AI-Powered Rule Generation for Automated Fault Detection and Diagnostics

mutation testing techniques comparison w.r.t. fault detection.

Vibration fault classification dashboard