Condition Monitoring for machinery in existing facilities
In this whitepaper, you’ll learn more about the possibilities of Condition Monitoring in brownfield facilities, as well as the various ways to collect data and make the most of it for your specific needs.
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Condition Monitoring in Existing Plants
Capture condition data, monitor assets more effectively, and plan maintenance with greater precision
Existing industrial plants often present maintenance teams with a critical challenge: important machine and asset conditions are either not sufficiently transparent or do not reach the responsible people at the right time. This is exactly where condition monitoring in existing plants comes in.
This white paper explains why the systematic capture and use of condition data has become a key element of modern Industry 4.0 concepts. The focus is on existing plants where condition monitoring needs to be improved retrospectively — not on new-build or purely greenfield projects.
What is this white paper about?
The white paper provides a practical overview of the importance of condition monitoring for existing machines, plant sections, and industrial infrastructures. It describes typical starting points in brownfield environments and explains which types of condition data can become relevant for maintenance, inspection, control, and documentation.
Readers will learn about the role of sensor values, additional information from field devices, local monitoring, central evaluation, network integration, and cloud-based concepts in condition monitoring. The white paper remains firmly application-oriented: it looks at real industrial requirements and highlights the questions companies should consider before implementing a condition monitoring concept.
What you can expect from the white paper
In this white paper, you will gain a concise overview of the key aspects of condition monitoring in existing plants:
- why condition monitoring is becoming increasingly important in existing industrial plants
- which typical problems occur in inspection, maintenance, and plant monitoring
- why unknown machine values and delayed communication of condition data are critical issues
- which data sources in existing plants may be relevant
- what role sensors, field devices, interfaces, and communication paths play
- how condition data can support monitoring, reporting, alarms, and maintenance processes
- how local, central, network-based, and cloud-supported use of condition data differ
- why condition monitoring is closely linked to predictive maintenance and future maintenance strategies
Who should read this white paper?
This white paper is aimed at specialists and decision-makers in maintenance, production, automation technology, plant operation, and technical management. It is especially relevant for companies that want to make existing plants more transparent, better assess maintenance requirements, or reduce the risk of unplanned downtime.
It also offers valuable guidance for small and medium-sized companies, as it focuses on the retrospective integration of condition monitoring into existing structures.
Why this topic matters
Condition monitoring helps companies better understand the condition of their machines and assets and identify relevant changes earlier. This can support more targeted maintenance planning, make inspections more efficient, and reduce the risk of unplanned shutdowns.
The white paper shows the potential of existing and additional condition data — and explains why structured use of this data is an important foundation for modern maintenance strategies, higher plant availability, and the transition toward predictive maintenance.