Accelerating the
Industrial Internet of Things

Predictive Maintenance

Predictive Maintenance Predictive Maintenance
Feature New Record

Dependable production planning and maximum machine availability through the avoidance of unscheduled downtime are the practical advantages of what is internationally known as predictive maintenance. 

On the basis of real-time data, all relevant parameters of the machines involved in the manufacturing process are acquired and evaluated for anomalies by means of stream analytics. In a subsequent machine learning process, specific fault patterns and the causes of a problem are detected in good time. This results in fewer rejects and maximum availability over the entire life cycle of the production line. The requirements on machine operating times vary depending on the specific branch of industry and its product cycles. While this could be up to 30 years in the aerospace sector, it is a matter of just a few months in the case of fast-moving goods, such as smartphones. With the aim of enabling an accurate assessment of the future performance of the machine or one of its components, intelligent predictive maintenance systems interconnect the largest possible amount of data from decentralized sources for the purpose of analysis.

The IoT ONE Radar indicates the mix of hardware, software and services used in an IoT solution.
Processors provide the intelligence behind IoT systems and are often integrated into system-on-a-chip designs.
Hardware that enables dual directional communication for data collection and control message delivery. Examples include cellular, Ethernet, and Wi-Fi.
Sensors transform energy into electrical data; they are the eyes and ears of IoT. Actuators transform electrical data into energy; they are the muscle of IoT.
Technologies that enable legacy devices and other systems to connect to the IoT. They integrate technologies and protocols for networking.
Hardware products that are used by end users that contain IoT technology.
Wearables are smart electronic devices that can be incorporated into clothing or worn on the body as implants/accessories
Software that ingests data and visualises it to generate insights to answer specific questions
Software that can take over complex human operations and operate independently of human intervention.
Platforms that facilitate and allow application developments for specific use cases and/or client requirements.
Software that focus on securing devices, machines, and communications between them.
Providing the infrastructure to store and manage data.
Bringing together software, hardware, middleware, and infrastructure components to build an end-to-end solution based on specific client requirements.
Developing custom hardware for specific uses and operating environments/needs.
Developing custom software for specific uses and operating environments/needs.
Providing network connectivity to allow communication between devices, things, and operators.
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