vibration-analysis 开源项目推荐（218 个）

VictorBauler /awesome-bearing-dataset

Bearing fault detection public datasets collection.

LGDiMaggio /predictive-maintenance-mcp

An open-source MCP server that turns LLMs into condition monitoring assistants for reliability engineers. It gives your AI assistant evidence-based vibration diagnostics: machine fault detection, severity assessment and diagnostic reports, for faster predictive maintenance decisions. Also available as a Claude Code plugin.

Western-OC2-Lab /Vibration-Based-Fault-Diagnosis-with-Low-Delay

Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay, IEEE Trans. on Instrumentation and Measurement, Aug. 2022. Techniques used: Wavelet Packet Transform (WPT) & Fast Fourier Transform (FFT). Application: vibration-based fault diagnosis.

ZhenxianLi /rota-order

Order tracking and order analysis for noise and vibration of rotating machinery in Python, validated against analytic ground truth, with order-based sound resynthesis.

permas4edu /permas4edu

Collection of finite element models

ecstayalive /Sparrow

This is a project for mechanical fault detection. The reason why it is called cute little bird may be because the eyesight of birds is particularly good, and they can detect small bugs. Besides, they are cute too. In the current version, we have tested some planetary gearbox vibration data in the lab, and there are 8 error types in total. And us…

DeepDynaSim /Active-Vibration-Control-Complete-Guide

MATLAB/Simulink examples for smart-beam vibration analysis and active control: Euler-Bernoulli models, finite differences, finite elements and piezoelectric actuation, with a technical guide.

aimanamri /mechanicalEngineering

Mechanical engineering calculation examples in Python -- projectile motion, stress analysis (Mohr's circle, von Mises, tensile test), beam SFD/BMD, thermodynamic cycles (Rankine, reheat, refrigeration), damped vibration, and numerical methods. Runs in Jupyter Notebook/JupyterLab.

aierlanjiu /Vibration-Test-Data-Summary

这个工程旨在通过对减速器（gearbox）在振动测试台上的测试数据进行筛选、清洗、统计、可视化和趋势分析，为我们更好地理解当前减速器设计状态的噪声振动机制及噪声水平评估提供支持。同时也为整个团队及相关合作伙伴提供依据，以改进产品设计方案和优化生产流程。

VictorBauler /BearingDatasets

Python library to download public bearing and rotating-machinery fault datasets (CWRU, Paderborn, XJTU-SY, FEMTO, IMS, …) from their original sources and convert them into one Parquet format, with the same columns and labels for every dataset.

ECheynet /trafficIdentification

Matlab algorithm to automatically identify key vehicle characteristics from vibrations data collected on a suspension bridge

pydamavand /damavand

Python package to simplify rotary machines vibration-based analysis

sky9464881 /phm-predictive-maintenance-analysis

진동 데이터 기반 PHM 예지보전 분석 프로젝트

yazyeah /MHFL-MCA-Codes-Datasets-and-Results

Official code, datasets, result artifacts, and supplementary experiments for MHFL-MCA multimodal machinery fault diagnosis.

Stormynubee /Bogieflow

Climate × vibration fusion for railway track-bed maintenance - a live, multi-agent digital twin (FAR AWAY 2026, Railways).

ArthurVL-maker /SHPB_Processing

SHPB_Processing.py - An open-source Python algorithm for correcting stress wave dispersion in split-Hopkinson pressure bar experiments

MohitSheth10 /Rail-Guard

Detecting loose railway fishplate bolts from vibration: ESP32-S3 + accelerometer + FFT band-ratio classifier, tested on a bench-scale rail joint.

Aashritha-2005 /Finite-Element-Model-Based-Neural-Twin-for-Structural-Dynamics-and-SHM

Structural Health Monitoring system that unifies deep learning and Finite Element modeling for real-time fault detection and dynamic response prediction in smart structures.

kait33-creater /motor-bearing-fault-diagnosis

基于 CWRU 真实轴承振动数据的电机故障诊断系统:时频域特征工程 + 随机森林/1D-CNN 双范式对比,含跨负载泛化与抗噪鲁棒性评估 | Bearing fault diagnosis on CWRU vibration data — feature engineering, RandomForest vs 1D-CNN, cross-load & noise-robustness evaluation

Yashodhanvivek /AIoT_Vibration_Prediction_EdgeDL

This project discusses implementation of deep learning model deployment for vibration prediction of motor