An easy to use and powerful chaos engineering experiment toolkit.（阿里巴巴开源的一款简单易用、功能强大的混沌实验注入工具）

Advanced fault backtrace library for ARM Cortex-M series MCU | ARM Cortex-M 系列 MCU 错误追踪库

A chaos engineering platform for supporting the complete fault drill lifecycle.

This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和预测)

CNN applied to bearing signals for analysis

This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）

Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of Rolling Bearings pytorch

Repository of benchmarks to evaluate Solidity Smart contract analysis tools

TensorFI is a fault injection framework for injecting both hardware and software faults into applications written using the TensorFlow framework. You can find more information about TensorFI in the paper below.

What to do when Hard fault hits? Debugger and error reporter solution for ARM Cortex M3 and M4.

This reposotory release a bearing failure dataset, which can support intelliegnt fault diagnosis research（实验室自采轴承开源数据集，包含稳定转速和时变转速）

modified knn for fault classification

This reposotory release a gearbox failure dataset, which can support intelliegnt fault diagnosis research（实验室自采齿轮箱开源数据集，包含稳定转速和时变转速）

a Python plugin for QGis, for plotting and analyzing structural geological measures

multi-source domain graph convolution networks (Fault and Abnormal Vibration Diagnosis)

EM-Fault It Yourself: Building a Replicable EMFI Setup for Desktop and Server Hardware

DFA scripts using Jlsca

Obtain the focal mechanism for the fault plane using InSAR observations to compare with the plane solution by seismic data, you can also do the superposition of focal mechanism for the multi-fault model.

Trident is a tool to analytically model the Silent-Data Corruption (SDC) rate of a program, to replace expensive fault injection experiments. Please refer to our papers at DSN 2018 for more details (links in the README)