Industrial AI · Predictive maintenance education
Learn the AI that finds a fault before the alarm does.
Practical lessons on machine learning for rotating equipment and plant assets. Anomaly detection, fault diagnosis and remaining useful life, explained with interactive illustrations and apps that run in your browser.
The AI-driven PHM journey
Six steps from a raw signal to a maintenance decision
Learning paths
Start from what you already know
Every topic opens with the classical baseline in one short box, then goes deep on the machine-learning approach.
New to machine learning
You know the machines. Learn what ML adds and how to judge it.
New to machines
You know the models. Learn the physics that makes features meaningful.
Turn ideas into tools
Use AI agents to build the analyzer or dashboard you have in mind.
Apps
Run the methods on real signals
Nine apps, all running in your browser. Your data stays on your computer unless you choose to ask the Vibe Assistant.
PdM Program Setup
Turn your asset list into a monitoring plan: techniques, wireless sensor counts and types, mounting and data settings.
Vibration Analyzer
Spectrum, envelope, kurtogram and cepstrum with automatic fault-family detection. The feature-extraction front end for ML.
Motor Current Analyzer
Motor current signature analysis: rotor bars, eccentricity, bearings and supply quality from one current channel.
Anomaly Detection Lab
Inject faults into pump data and race Isolation Forest, PCA and an autoencoder against a fixed alarm.
Fault Classifier
Train kNN, Random Forest and a neural network on vibration features and compare them with expert rules.
RUL Predictor
Predict remaining useful life with uncertainty and see what it is worth against fixed-interval replacement.
Resources
Tech talks, interviews and webinars
Start here
Planning a predictive maintenance program?
The PdM Program Guide walks through criticality, the P-F curve, technique selection and wireless sensors. The Program Setup app turns your asset list into a monitoring plan.
Get in touch
Questions, collaborations, speaking
Suggest a topic, propose a talk or interview, or ask about a project.