Page 6 - Predictive Maintenance and Enhanced Quality with

1.3 Traditional Maintenance Approaches

Reactive maintenance, commonly referred to as "run-to-failure,"

involves fixing machinery only after it malfunctions. This method
may result in expensive repairs, unanticipated downtime, and

possible safety risks. Regardless of the state of the equipment,

preventive maintenance adheres to a predefined timetable for
maintenance chores. Although its goal is to prevent failures, it

sometimes falls short and necessitates unneeded maintenance.
These conventional methods are unable to adequately predict

and avoid failures.

1.4 How Industry 4.0 Enables Predictive
Maintenance

Predictive maintenance is built on Industry 4.0, the merging of
digital technology with industrial processes. Sensors built inside
machinery capture real-time data on a variety of characteristics,

including temperature, vibration, and pressure, over the Internet

of Things (IoT). For analysis, this data is sent to centralized
systems. Advanced analytics methods, including machine

learning and artificial intelligence, evaluate the data to find
trends and anomalies, making it possible to forecast equipment

breakdowns and maintenance requirements. The constant
monitoring and analysis of equipment conditions made possible

by Industry 4.0 technology make predictive maintenance
possible.