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.

Scarp PARameTer Algorithm (SPARTA): A semi-automated algorithm to calculate fault scarp morphological parameters from profiles extracted from a digital elevation model

Collection of functions for calculating faults and line impedances for power systems in python 3.9

Python package to predict bugs using the complexity of code changes

A binary fault Injector based on TensorFI fault injector. For more details, please refer to our paper

A project focused on find faults and determine the reliability of program

Calculates the likely age of a fault scarp based from a diffusion cofficient. Generates the original fault surface and then diffuses the scarp and finds the best fit time.

Fault simulation tool

EC804 Digital VLSI Testing and Testability Assignments.

This api is for you; Data such as Micro Plates and Major Fault Zones, Plate interfaces, Plate Movements in a single JSON file. presents it to you.