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Predictive maintenance software
monitoringoperations intelligencemachine

Predictive maintenance software - Mondas GmbH - monitoring / operations intelligence / machine
Predictive maintenance software - Mondas GmbH - monitoring / operations intelligence / machine
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Characteristics

Function
monitoring, for predictive maintenance, operations intelligence
Applications
machine, alarm, for Industry 4.0

Description

Detect Faults Early With Predictive Maintenance Predictive maintenance, like Industry 4.0, Big Data and Artificial Intelligence, is on everyone’s lips. Predictive maintenance means nothing other than detecting the critical operating state of a plant or machine at an early stage. So early that it can best be eliminated before the incident even occurs. Detect Operating Errors – Save Maintenance Costs An important benefit of predictive maintenance is a more reliable operation of equipment. For many maintenance and service companies, predictive maintenance adds a new dimension to their portfolio of services. Here, the one-time implementation and annual licensing costs of IoT monitoring are offset by the operating and energy costs saved. In most cases, the latter prevails. Especially in times of shortage of skilled workers, good utilization of service personnel is important. Less time behind the wheel and more time in the workshop and on site – that’s the order of the day. The targeted deployment of specialist personnel are the most common arguments for entering the digital age. Predictive maintenance via the mondas® IoT platform makes this possible. Service technicians are informed about details of the malfunction via an internal alarm system. So they can go on service trips well equipped and with the right spare parts on board. The error is quickly corrected – ideally without the customer noticing.
*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.