PHME 2026 Hands-On Workshop: Predictive Maintenance and Anomaly Detection with MATLAB
Overview
Engineers are using AI to design smarter ways to detect anomalies, identify faults, and estimate the remaining useful life of machines. In this hands-on workshop, you will write and execute code examples in MATLAB® Online™ – entirely in your browser – to learn and explore how to design AI algorithms for predictive maintenance and anomaly detection. This workshop will be most useful for engineers who work with time series sensor data that want to explore ways to apply MATLAB to design effective algorithms.
MathWorks instructors will be available throughout the session to guide you. All necessary MATLAB licenses will be provided for the duration of the workshop, including Predictive Maintenance Toolbox. Please bring your laptop.
Highlights
- Familiarize yourself with MATLAB Online with an introductory example that trains a machine learning model to identify anomalies and faults.
- Interactively extract, analyze, and rank features from machine sensor data, then train and compare multiple AI models based on these features.
- Dive deep into two real-world examples that cover designing an anomaly detection algorithm and estimating remaining useful life
Who Should Attend
This workshop is open to anyone attending the PHME Conference in 2026 who is interested in learning how to design predictive maintenance algorithms in MATLAB.
About the Presenter
Antti Löytynoja is a senior application engineer at MathWorks, focusing on MATLAB -based workflows, including data analytics, machine learning and predictive maintenance. In addition, he spends much of his time helping MathWorks customers integrate their MATLAB algorithms into external applications. Antti has worked at MathWorks for over 15 years, and prior to joining the company, he worked as a researcher at Tampere University of Technology, studying applications of audio signal processing.
Rainer Mümmler is a Principal Application Engineer at MathWorks, specializing in Data Analytics, Artificial Intelligence, Predictive Maintenance, Hardware Connectivity, and IoT solutions. Prior to his tenure at MathWorks, he gained valuable experience as a wind tunnel test engineer and served as a freelance consultant for multiple aerospace companies.
