Marcel van Helten, CEO
Profitability for most of the process and energy industry depends heavily on how reliably and efficiently the industrial assets are producing. Predictive maintenance, coupled with an effective machine monitoring strategy, is the surest way to ensure the plant’s turbines, compressors, pumps, motors and other machines keep producing, while their life cycle costs are minimized. To achieve this, critical machines, as well as the balance of plant, should be continuously monitored by vibration and other measurement techniques for detecting symptoms of a potential failure mode.
Maximizing Lead-time to Maintenance Gives Profitability
Although few doubt the merits of condition monitoring, there are still many legacy monitoring systems that can no longer fulfil the increasingly stringent plant production and product quality requirements of industrial customers Machines have less supervision are often operated under more demanding conditions. B&K Vibro is keenly aware of these challenges and has been on the forefront for optimizing condition monitoring solutions for decades. B&K Vibro offers vibration-based condition and performance monitoring solutions for early detection and diagnosis of rotating and reciprocating machine faults, maximizing the lead-time to maintenance. “We effectively translate this early fault detection and diagnostic information to call-for-action recommendations to the operations and maintenance crew,” says Marcel van Helten, CEO, Brüel&Kjær Vibro.
“The result is maximized production, improved machine efficiency, reduced downtime and maintenance costs that collectively deliver increased plant reliability and availability”.
Wide portfolio of monitoring solutions
B&K Vibro has a comprehensive set of offerings that includes API 670-compliant protection and condition monitoring systems, vibration sensors, vibration monitors and portable systems. These products, along with a suite of services and training, fulfil the most demanding applications for protection, condition, and performance monitoring in various industries.
The truth is in the waveforms, and through these waveforms we turn vibration data into business value, to analyze the root cause of potential machine failure, helping customers to make better decisions, faster
Development is on-going. A fully integrated, loop-powered displacement sensor transmitter has just been released. This 4-20 mA sensor can help reduce the cost of the entire measurement chain installation by almost 50 percent.
The VC-8000 Setpoint system offers condition monitoring capability powered by OSIsoft PI. No separate, proprietary condition monitoring server is needed since all data storage, alarm limit monitoring, fault detection, notifications and reporting is done in the PI system.
“The truth is in the waveforms,” remarks van Helten. “Together with other data, we store time waveforms in PI, which contain the most complete information set on the condition of the machine. The Setpoint diagnostic tools are then used to analyze the time waveforms and other data to find the root cause of the machine fault”.
Dedicated monitoring solutions to the industry
B&K Vibro’s monitoring solutions can be found globally, in multiple industries. The DDAU condition monitoring system, together with VibroSuite, represents a dedicated monitoring solution for the wind industry, In the 15 years since its introduction, B&K Vibro has been market leader in this field.. This system, together with the B&K Vibro Surveillance and Diagnostic Service Centre, has made a huge impact on optimizing wind park productivity, with thousands of installations on wind turbines the world over. Similar successes have been achieved in the petrochemical, power and other industries.
Innovation - now and in the future
In addition to many years of expertise, B&K Vibro also has vast amounts of monitored data from many types of machines, including fault data. “We combine artificial intelligence and machine learning algorithms with our domain expertise for optimizing automatic detection of faults and prevention of machine failures,” states van Helten. “With over a trillion data points, we can already detect 47 potential failure modes automatically in a wind turbine”. Going forward, the company plans to enhance its machine learning capabilities, build on IoT technology and accelerate the market penetration of its PI-based Setpoint and VC-8000 system.