Featured Whitepapers

Condition monitoring with non-destructive vibration analysis is experiencing an accelerated development due to several factors that work as a catalyst. Industrial and marine installations are increasingly interconnected by industry standard TCP/ IP based networks. Transmission of wireless data is becoming cheaper and much faster. Digital storage of large data volumes is not a costly hurd-le any longer and engineers and technicians are used to work with intuitive and mobile tablets and smartphones that virtually connect them via apps to their plants, their homes and even their own health parameters. New techniques such as data mining and analytics have emerged. They enable us to quickly plough through enormous amounts of data and extract patterns and relations that were thus far hidden from sight. In this whitepaper we are exploring how these new technologies will empower technicians and engineers to efficiently and accurately predict and analyse wear and damages in rotating equipment and how these new technologies are boos-ting the effectiveness of the vibration analyst. The result is an accrued efficiency of industrial production units, marine vessels and offshore units, rendering them safer, less polluting and more profitable.
Industrial manufacturing processes can be extremely sensitive to the presence of contaminants. It’s important to monitor the condition of your fluid in order to meet cleanliness standards and avoid potential critical system failures. However, conventional bottle sampling methods are time consuming and subject to human error. In this paper we examine the various steps in the conventional bottle sampling process, as well as the advantages of upgrading to an online approach.
This paper describes the machine condition measurement system which combines particle count data and elemental analysis information in two closely interlinked measurement phases. This machine condition tool is part of a portable product that also measures lubricant condition using viscosity and IR to complete the overall condition monitoring picture. The paper compares existing analytical techniques used to quantify wear conditions and contrasts them with the new techniques and methodologies the device uses. Finally, this paper presents case studies that use the device to show how the measurements compare to other analytical techniques in different machine condition monitoring applications.

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