This project demonstrates a fault detection mechanism on a state machine using a server-client architecture .

Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.

Fault Detection Diagnostics (FDD) for HVAC datasets

Python Based Wireless Sensor Network Simulator.

Python code for abnormal detection using Support Vector Data Description (SVDD)

Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify the health conditions.

A framework for Inter-turn fault detection in transformers using wavelet analysis and deep learning

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

[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

DCASE2020 Challenge Task 2 baseline system

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

DS Project: A fault-tolerant distributed key-value store using the Raft consensus algorithm

Energy monitoring for logging, detection of faults, and preventative maintenance monitoring.

PCA for multivariate statistical process monitoring.

Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection（基于半监督密度聚类+增量学习的故障诊断）

1DCNN Fault Detection（1DCNN的轴承故障诊断）

Frontend and backend separated object detection tf2 demo build with Flask, TensorFlow 2.x.

Here are the source code, pretrained models and dataset for paper "Soft Manipulator Fault Detection and Identification Using ANC-based LSTM"

Algorithms from my Master's dissertation on fault detection through statistical and machine learning techniques.