Predictive Maintenance using MATLAB

To enable the start of developing predictive maintenance algorithms, we will explain the terminology and introduce examples, tutorials, and trial software.

With the realization of "smart factories" through the AI x IoT transformation in the manufacturing industry, interest in predictive maintenance is growing daily. Predictive maintenance allows for the monitoring of equipment conditions to prevent future equipment failures. By using data from equipment sensors, it is possible to identify the root causes of failures and predict the time until failure using classification, regression, and time series analysis. It also helps in identifying complex machine issues and determining which parts need repair or replacement. This minimizes downtime and maximizes the lifespan of the equipment. This ebook provides explanations of terms, examples, tutorials, and access to trial software to help you get started with developing predictive maintenance algorithms using MATLAB.

Software (middle, driver, security, etc.)