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Condition monitoring: An introduction to modern maintenance technology

Condition monitoring is more than just a technology - it protects machines from unexpected breakdowns, can monitor goods carriers worldwide and is therefore a strategic advantage in an increasingly digitalized and competitive world.  

Smart real-time monitoring enables the identification of issues before they occur, transforming potential disruptions into opportunities. Companies that adopt condition monitoring maintain a competitive edge, positioning themselves as leaders with this game-changing technology. 

Condition monitoring with IoT: modern maintenance technology

In brief

  • Condition monitoring continuously records machine data such as vibration, temperature or pressure in order to detect wear and malfunctions at an early stage and prevent breakdowns.
  • Objectives: Minimisation of downtime, optimisation of maintenance planning, cost reduction and extension of the service life of machinery and equipment.
  • Technologies: vibration analysis, thermography, oil analysis, moisture sensors, electrical signature analysis, IoT-supported sensor technology and AI data analysis.

What is condition monitoring?

Condition monitoring is a crucial tool in modern maintenance. Continuous monitoring of machines, systems and goods carriers allows critical data to be recorded in real time. This information makes it possible to identify problems at an early stage and initiate targeted maintenance measures. Condition monitoring helps companies reduce downtime, extend the service life of equipment and increase overall operational efficiency.

What are the objectives of condition monitoring?

Condition monitoring pursues a number of important objectives that help companies increase efficiency and reduce costs:

  • Early detection of problems: Machine condition monitoring enables wear, malfunctions or unusual operating conditions to be detected at an early stage. By continuously monitoring machine parameters such as vibrations, temperature, pressure or noise levels, anomalies can be identified before they lead to major damage.
  • Minimising downtime: A key objective of condition monitoring is to minimise unplanned downtime and potential hazards during transport. Real-time monitoring and analysis of machine conditions and goods carriers allows necessary maintenance work to be planned and carried out before a breakdown occurs. This ensures higher uptime and increases the availability of machines and systems.
  • Optimisation of maintenance planning: Condition monitoring enables demand-driven maintenance by providing accurate information about the current condition of machines. Instead of relying on rigidly defined maintenance intervals, maintenance work can be planned based on actual machine conditions. This not only optimises maintenance costs, but also the use of resources and the service life of the machines.
  • Cost reduction: Through a combination of early detection, minimised downtime and optimised maintenance planning, condition monitoring leads to significant cost savings. Avoidable breakdowns are reduced, which lowers direct repair and spare parts costs. In addition, production interruptions are minimised, which increases efficiency and improves profitability.

What is the difference between condition monitoring and predictive maintenance?

Condition monitoring and Predictive maintenance (proactive maintenance) are closely linked. Condition monitoring serves as the basis for predictive maintenance by continuously collecting data on the condition of machines and systems. This data is analysed to identify patterns and faults that could indicate future failures. Predictive maintenance uses this information to perform maintenance work exactly when it is really needed, rather than adhering to fixed maintenance intervals. The result is an optimised maintenance strategy that minimises downtime, reduces costs and extends the service life of the machines.

The most important condition monitoring techniques

Vibration analysis

This technology, in the form of vibration sensors or acceleration sensors, is often used to detect mechanical problems such as imbalances, bearing defects or loose parts. By analysing vibration patterns, anomalies can be identified at an early stage.

Thermography

Infrared cameras detect temperature distributions and deviations on machines and electrical components. This makes it possible to visualise overheating that indicates wear, overload or defects.

Moisture and corrosion sensors

These sensors monitor environmental conditions such as humidity and corrosion, which can affect the long-term reliability of machines.

Oil analysis

Testing lubricants for contaminants, particles and chemical changes provides information about the condition of gearboxes, engines and other lubricated machine components. Wear particles in the oil can indicate impending damage at an early stage.

IoT sensors and data analysis

Networked sensors continuously record a wide range of operating parameters. With the help of big data and artificial intelligence, this data can be analysed in real time to make accurate predictions about the condition of the machine and optimise maintenance measures.

Electrical signature analysis

This method monitors electrical parameters such as current and voltage to detect problems in electrical machines and drives, such as insulation faults, winding problems or overloads.

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How condition monitoring and IoT work together

Condition monitoring and the Industrial Internet of Things (IIoT) work hand in hand to maximise the efficiency and reliability of machines. IIoT enables sensors to be integrated on a large scale into machines, systems and goods carriers in order to continuously monitor various operating parameters such as vibrations, temperature, pressure and humidity. These sensors are often wirelessly networked and send their data in real time via the IIoT network to centralised or cloud-based systems.  

The collected data is then transmitted in real time via IIoT platforms and evaluated using advanced analysis tools, including big data and artificial intelligence. This allows anomalies and potential problems to be detected at an early stage. Thanks to IIoT connectivity, machines, systems and goods carriers can even be monitored and controlled remotely. Technicians and managers can access the status of the machines at any time via mobile devices or central control centres and intervene immediately if necessary, even if they are not on site. By combining condition monitoring and IIoT, companies can thus move from a reactive to a preventive and predictive maintenance strategy.

Condition monitoring is useful in these areas

Person with tablet in front of a production facility
Person with tablet in front of a production facility

Manufacturing and production

Machine condition monitoring identifies problems such as vibrations or overheating in machines at an early stage, which prevents breakdowns and ensures productivity. In addition, monitoring production processes helps to identify deviations that could affect the quality of the end products.

Two people wearing protective helmets in front of wind turbines.
Two people wearing protective helmets in front of wind turbines.

Power generation

Monitoring rotor blades in wind turbines, turbines and generators can prevent failures and make energy production more efficient.

Cargo ship in port loading containers, supported by Telekom IoT for real-time tracking
Cargo ship in port loading containers, supported by Telekom IoT for real-time tracking

Transport and logistics

Monitoring rotor blades in wind turbines, turbines and generators can prevent failures and make energy production more efficient.

Man wearing a hard hat and holding a building plan on a building terrace
Man wearing a hard hat and holding a building plan on a building terrace

Facilities management

Condition monitoring optimises the efficiency of heating, ventilation and air conditioning systems and reduces energy consumption. Monitoring lifts and escalators also ensures safety and minimises breakdowns.

A view of the globe from space
A view of the globe from space

Aerospace

Machine monitoring of engines and hydraulic systems is crucial for the safety and reliability of aircraft. In space travel, it ensures the long-term operation of satellites and space stations by monitoring critical systems.

Crane lifts water treatment container from lorry
Crane lifts water treatment container from lorry

Water supply and wastewater treatment

Monitoring pumps and valves ensures the smooth operation of water treatment and wastewater systems to prevent failures.

Why should companies rely on condition monitoring?

Condition monitoring is not just a technical tool, but an important strategic decision. It enables companies to make optimal use of their machines and systems and avoid unexpected downtime. With advancing digitalisation and the possibilities offered by the Internet of Things, this technology will continue to gain in importance in the coming years. Companies that embrace condition monitoring at an early stage not only gain a competitive advantage, but also secure their production capacities and cost efficiency in the long term. Now is the ideal time to set the course for a future-proof maintenance strategy.

Ready. Set. Track!

Cargo ship in port loading containers, supported by Telekom IoT for real-time tracking

Ready. Set. Track!

Would you like to keep track of your assets at all times? With our Track and Trace service, you can always keep an eye on your valuable goods, merchandise and load carriers. Equip your company with efficient Track and Trace technologies now!

Potrait photo Annalena Rauen

Annalena Rauen

Marketing Manager IoT

Back in 2016, Anna worked on IoT topics at Deutsche Telekom for the first time. Since then, she has been supporting customer best practices in a wide range of industries – always focusing on the benefits that the Internet of Things can provide. Her IoT blogposts describe real use cases and the value these innovations add to market players, their business models, and even entire industries.

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