0515912 Goto Github PK

0914-pt

Power transformer fault diagnosis

ballbearingfaultdiagnosis

For School Project

basic-rotating-machine-vibration-analysis

These codes realize data transformation and simple data processing for fault diagnosis.

cnc-rul-prediction

It aims to implement a real-time system to monitor the tool condition and predict the Remaining Useful Life (RUL) Computer Numerical Control (CNC) machine tools.

current-research

Fault Detection and Diagnosis (FDD) of Rotating Machinery

dd-knn-for-bearing-fault-diagnosis

modified knn for fault classification

estimation-of-remaining-useful-life-using-cnn

Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

fault-diagnosis

PhD research-related software on fault diagnosis

fault_diagnosis_ballbearing_wavelet

Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA), cepstrum analysis, Model based analysis, etc. we have doing detecting bearing faults using FFT and by using Wavelet analysis more specifically wavelet Analysis up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB. Diagnosing the faults before in hand can save the millions of dollars of industry and can save the time as well. It has been found that Condition monitoring of rolling element bearings has enabled cost saving of over 50% as compared with the old traditional methods. The most common method of monitoring the condition of rolling element bearing is by using vibration signal analysis. Measure the vibrations of machine recorded by velocity

kernel-principal-component-analysis-kpca

KPCA for dimensionality reduction, feature extraction , fault detection, and fault diagnosis

lstar_fsm_generator_forunknownsystems

Event-based fault diagnosis for an unknown plant

machinefaultdiagnosistoolbox

nasa_rul_-cmaps-

Remaining Useful Life (NASA CMAPS Dataset)

normalized-discriminant-graph-embedding-for-fault-diagnosis

Code for paper "Normalized Discriminant Graph Embedding for Fault Diagnosis"

predict-remaining-useful-life

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

remaining-useful-life-estimation-of-rocket-engines

Similarity matching based remaining useful life estimation

remainingusefullife

It is a collection of all kinds of feature extraction and recognition algorithms

rolling-bearing-fault-diagnosis

利用最小二乘支持向量机进行分类器建模，改进鲸鱼算法（基于冯洛伊曼拓扑的鲸鱼算法）进行超参数寻优

rotating-machine-fault-diagnosis-based-on-cwt-and-lbcnn

Undergraduate Thesis

rul-net

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

time-holospectrum

Time-HoloSpectrum，Holospectrum，Full-Spectrum and Full Vector Spectrum for rotating machinery fault diagnosis。用于旋转机械故障诊断的全频谱，全息谱以及全矢谱。