Many companies are taking steps towards intelligent and preventive maintenance. However, in addition to the historical data accumulated in the maintenance system, preventive maintenance plans that support maintenance, or even sensory observations in production facilities, more data is needed to increase predictability and make maintenance more preventive. This can be supported by online or offline condition monitoring and the measurement data this task generates.
In most cases, the term “condition monitoring” refers to measurements taken under normal operating conditions of the equipment without stopping it. In practice, condition monitoring is therefore a check on the mechanical condition of the rotating parts.
With automatic condition monitoring, various parameters such as vibration values, temperatures or lubricant analyses of equipment and machinery can be monitored accurately and regularly. Anomalies in the data can provide important information about problems long before the failure causes actual problems. For example, deterioration in the condition of bearings can be seen in measurements up to months before they actually need to be replaced. Such information helps planning for the long term.
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The information provided by condition monitoring can therefore be used to significantly increase the planning of maintenance. Reliable data and correct interpretation can help avoid unplanned stops, as the maintenance of machinery and equipment is scheduled, for example, to occur at the same time with an already known maintenance event.
In the long term, condition monitoring brings benefits in terms of improved equipment condition and longer life. Increased business planning brings savings through, for example, smoother production and reduced costs from unplanned downtime.
The trend in maintenance development seems to be moving from centralized single-system solutions to decentralized, interconnected systems. Often, maintenance-relevant data is fragmented between different systems, meaning that operationally relevant information may be located in several different places or formats. Systems integration and various BI solutions made it possible for knowledge management to become part of everyday business life in a rapid cycle, also in maintenance organizations.
A condition monitoring system, in turn, provides a real-time snapshot of the equipment. It allows you to keep track of what is happening right now. The system typically accumulates a large amount of measurement data as the automatic control system continuously monitors the connected equipment. Managing large amounts of data can be a challenge, at least in situations where there is insufficient planning for its use. However, there is significant potential to develop and use the data accumulated in the condition monitoring system for improving maintenance.
A good practice among our clients has been to route alerts from the condition monitoring system to the maintenance system, where the actual work planning takes place. This allows the best of both worlds to function together. This way, situations are avoided where the maintenance system is fed with too much data or it is used to perform work with an unnecessarily large sample.
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