---
title: Predictive Maintenance Solution for Smart Manufacturing
description: Learn how MATLAB® and Predictive Maintenance Toolbox™ combine machine learning with traditional model-based and signal processing techniques to create hybrid approaches for predicting and isolating failures.
---

[![logo.png](https://event.techsource-asia.com/hs-fs/hubfs/output-onlinepngtools%20(5)-1.png?width=825&height=131&name=output-onlinepngtools%20(5)-1.png "logo.png")](https://www.techsource-asia.com)

[![Free Demo](https://hubspot-no-cache-na2-prod.s3.amazonaws.com/cta/default/6377406/270f40b3-9337-44ce-b96d-77b42b757c60.png)](https://hubspot-cta-redirect-na2-prod.s3.amazonaws.com/cta/redirect/6377406/270f40b3-9337-44ce-b96d-77b42b757c60)

## Predictive Maintenance Solution for  Smart Manufacturing

Predictive maintenance reduces operational costs for organizations running and manufacturing expensive equipment, by predicting failures from sensor data. However, identifying and extracting useful information from sensor data is a process that often requires multiple iterations as well as a deep understanding of the machine and its operating conditions.

 

Watch the recorded video and get the free presentation slides

![laptop.png](https://cdn2.hubspot.net/hub/2500081/hubfs/Lander/laptop.png?width=64&name=laptop.png "laptop.png")

Complete the form to get the free presentation slides

![set-square.png](https://cdn2.hubspot.net/hub/2500081/hubfs/Lander/set-square.png?width=64&name=set-square.png "set-square.png")

Explore our solutions on Predictive Maintenance 

## In these presentation slides, you will:

Learn how MATLAB® and Predictive Maintenance Toolbox™ combine machine learning with traditional model-based and signal processing techniques to create hybrid approaches for predicting and isolating failures. You will also see built-in apps for extracting, visualizing, and ranking features from sensor data without writing any code. These features can then be used as condition indicators for fault classification and remaining useful life (RUL) algorithms.

[![Free Consultation](https://hubspot-no-cache-na2-prod.s3.amazonaws.com/cta/default/6377406/3bef9018-9c79-420a-b1b2-95d8e6cfaad2.png)](https://hubspot-cta-redirect-na2-prod.s3.amazonaws.com/cta/redirect/6377406/3bef9018-9c79-420a-b1b2-95d8e6cfaad2)

![PDM Solution for Smart Manufacturing-bkgrd](https://event.techsource-asia.com/hs-fs/hubfs/PDM%20Solution%20for%20Smart%20Manufacturing-bkgrd.png?width=1472&name=PDM%20Solution%20for%20Smart%20Manufacturing-bkgrd.png "PDM Solution for Smart Manufacturing-bkgrd")

![deploy algo thumbnail](https://event.techsource-asia.com/hubfs/PM/deploy%20algo%20thumbnail.jpg "deploy algo thumbnail")

[eBook: Extracting Condition Indicators with MATLAB](https://event.techsource-asia.com/ebook-feature-extraction-for-identifying-condition-indicators-with-maltab?hsLang=en)

![predictive-maintenance-challenges-whitepaper-thumbnail](https://event.techsource-asia.com/hs-fs/hubfs/PM/predictive-maintenance-challenges-whitepaper-thumbnail.jpg?width=690&height=388&name=predictive-maintenance-challenges-whitepaper-thumbnail.jpg "predictive-maintenance-challenges-whitepaper-thumbnail")

[**White Paper: Overcoming Four Common Obstacles to Predictive Maintenance with MATLAB and Simulink**](https://event.techsource-asia.com/white-overcoming-four-common-obstacles-to-predictive-maintenance-with-matlab-and-simulinkpaper?hsLang=en)

 

![campaign-predictive-maintenance-challenges-thumbnail](https://event.techsource-asia.com/hubfs/campaign-predictive-maintenance-challenges-thumbnail.jpg "campaign-predictive-maintenance-challenges-thumbnail")

[eBook: Digital Twins for Predictive Maintenance](https://event.techsource-asia.com/ebook-digital-twins-for-predictive-maintenance?hsLang=en)

 

![IntroPDM](https://event.techsource-asia.com/hubfs/PM/IntroPDM.jpg "IntroPDM")

[eBook: Introduction to Predictive Maintenance with MATLAB ](https://event.techsource-asia.com/ebook-introduction-to-predictive-maintenance-with-matlab?hsLang=en)

![MainPageRUL](https://event.techsource-asia.com/hubfs/MainPageRUL.jpg "MainPageRUL")

[eBook: Estimating Remaining Useful Life with MATLAB](https://event.techsource-asia.com/ebook-estimating-remaining-useful-life-with-matlab?hsLang=en)

**30-Day Trial** 

Develop predictive maintenance project with MATLAB, Simulink, and a full set of products for predictive maintenance.

[![Download Trial](https://hubspot-no-cache-na2-prod.s3.amazonaws.com/cta/default/6377406/118e4f97-467e-4186-9c63-df3abae11812.png)](https://hubspot-cta-redirect-na2-prod.s3.amazonaws.com/cta/redirect/6377406/118e4f97-467e-4186-9c63-df3abae11812)

Copyright © 2020 TechSource Systems