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Predictive maintenance

Fewer production interruptions, shorter and less expensive maintenance, a smaller stock of spare parts, ... These are just some of the advantages of predictive maintenance that will make you a lot of money. Koning & Hartman uses ICONICS software to create this added value for you. We provide to you full building automation and control systems.

FDD technology reduces costs and improves operational efficiency. Using a standard library of fault rules that you can customise for your organisation, you predict equipment failure and advise employees on preventive measures. Before the rise of FDD software solutions, many organisations relied on institutional knowledge to repair or maintain their wide variety of equipment. All knowledge about the numerous symptoms, causes and recommended actions existed only in the heads of senior maintenance engineers or, at best, in a printed or electronic archive. Thanks to the development of FDD technology, this information is contained in algorithms that help you move from corrective "break/fix" maintenance to more modern, cost-effective predictive maintenance.

Fault Detection and Diagnostics (FDD)

ICONICS FDD-tools use an advanced Fault Rules Engine that calculates the probability of error and all associated costs. They save users configuration time by making integration easier, faster and more intuitive. ICONICS FDD tools can be integrated with the most popular BAS, SCADA, PLC and other systems used to monitor equipment conditions.

Koning & Hartman has extensive expertise in data integration, connectivity and smart (building) solutions. We listen to your story and your needs and devise smart solutions together with you.

Overall Equipment Effectiveness (OEE)

In general terms: OEE quantifies the degree to which a production unit performs in relation to its capacity during the periods when the unit must operate. OEE is thus used to evaluate how effective a part of the process is.

OEE consists of:

  • Availability: also called "Uptime". Ratio between planned and actual time in operation.
  • Performance: ratio between actual and planned quantity of processed products per time unit.
  • Quality: ratio between approved and rejected products.

Standstills, alarms and events

Information about downtimes, alarms and events form the basis for the calculation of the KPIs quality and efficiency. Registration of this information is not only important for calculating OEE, but also forms the basis for initiating improvement processes. For example, a top ten of standstills or alarms.


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