Sump pump abnormal operation detection, maintenance needed alerts, and energy monitor.
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Updated
Apr 21, 2021 - Python
Sump pump abnormal operation detection, maintenance needed alerts, and energy monitor.
DS Project: A fault-tolerant distributed key-value store using the Raft consensus algorithm
Multirobot supervision system using Nagios and ROS
Algorithms from my Master's dissertation on fault detection through statistical and machine learning techniques.
mutation testing techniques comparison w.r.t. fault detection.
Frontend and backend separated object detection tf2 demo build with Flask, TensorFlow 2.x.
A wrapper for connecting to Ecorithm's API Platform through Python
Fault Detection System Development at eParampara Technologies (Test Repo)
A framework for Inter-turn fault detection in transformers using wavelet analysis and deep learning
Phi φ Accrual Failure Detector implementation in Python, see: https://samueleresca.net/detecting-node-failures-and-the-phi-accrual-failure-detector/
Python package to predict bugs using the complexity of code changes
This project is to classify the state of the welding chip. Considering the complexity of the problem, only two classifications are carried out, namely normal and abnormal. Through the test of fully connected network, convolutional neural network and Fine-tuning Of Google Net, we found that fine-tuning of Google Net had the best effect, reaching …
Fault detection in refrigeration systems implementing PCA-RBFN (Principal Component Analysis - Radial Basis Function Neural Network)
Here are the source code, pretrained models and dataset for paper "Soft Manipulator Fault Detection and Identification Using ANC-based LSTM"
This repository is careated for process monitoring
Fault Detection in Distributed System using Gossip Protocols. Team: Ritesh Ghorse, Shreyas Muralidhara, Tanvi Pandit.
PCA for multivariate statistical process monitoring.
Data driven fault detection in chemical processes: Application to Tennessee Eastman Plant
Energy monitoring for logging, detection of faults, and preventative maintenance monitoring.
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