Datasets for Predictive Maintenance
-
Updated
May 8, 2025 - Jupyter Notebook
Datasets for Predictive Maintenance
Grayscale release, Service degradation
Set of tools to calculate degradation responses and degradation related parameters for PV.
AAAI22-SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification
Remaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data-driven RUL prediction. Many research directions on DPA can be further studied.
DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis
R package for fitting kinetic models with one or more state variables to chemical degradation data
[ISPRS 23] Deforestation Detection in the Amazon with Sentinel-1 SAR Image Time Series
URL-fuse is a configurable URL curcuit breaker for nginx, it's powered by open-resty.
Neurorobotic Simulations on the Degradation of Multiple Column Liquid State Machines
The code that powers my thesis
A RR Model of Image Quality Assessment
Automate degradation of a service or feature when a failure threshold has passed. Coordinates multiple instances via Redis.
qSVA adapted for 2 brain regions as part of the BrainSeq Phase II project
Progressively degrade your samples/tracks with a single knob.
Image restoration in spatial domain
A Streamlit-based application for fitting and visualizing pseudo-first-order kinetic models in photocatalytic degradation studies. Includes support for experimental parameter input, real-time plotting, and basic error analysis.
Interpretability Metrics
Quality Surrogate Variable Analysis for Degradation Correction
Add a description, image, and links to the degradation topic page so that developers can more easily learn about it.
To associate your repository with the degradation topic, visit your repo's landing page and select "manage topics."