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

CNN applied to bearing signals for analysis

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.

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

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

Python package to predict bugs using the complexity of code changes

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

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

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

Chaos is a physics-based quantum computing simulator with GPU acceleration and NumPy support. It helps researchers model quantum systems and test algorithms 🐙.

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.

The Irikura recipe is a strong ground motion simulation methodology, based on greens functions and source characterization. This code generates acceleration for a large fault from acceleration records of a smaller source.