Fernando Velloso explains how a Software as a Service (SaaS) model can help manufacturers overcome any digital scepticism, and can also offer opportunities to improve total cost of ownership (TCO).
Trenton Roncato Juraszek explains why machine learning (ML) and artificial intelligence (AI) can support better maintenance, and improved overall equipment effectiveness (OEE) of pump systems.
Charly Achter discusses the benefits of adopting condition monitoring and moving away from reactive to predictive maintenance strategies.
David Bowers explains the role that flowmeters and field instruments can play in helping companies to make their production operations cleaner and greener.
Gregory Perry explains how asset criticality analysis can support maintenance teams to prioritise predictive maintenance strategies.
Marcel Koks highlights some important steps that help engineers move from reactive to prescriptive plant maintenance.
Darrell Taylor explains how Teledyne FLIR can help manufacturers put into place effective condition monitoring strategies to help ensure efficient operation and overcome manufacturing challenges.
Jason Tweedy discusses the benefits of vibration monitoring and analysis.
The role of Ethernet continues to expand, supporting the high speed transfer of data. Mark Mullins describes some simple cable testing options.
Eric van Riet explains how calibration has needed to evolve in line with the digital migration of HART devices.
Heikki Laurila offers advice on calibrating HART pressure transmitters.
Dr Martin Hanton highlights the importance of flow measurement accuracy in the energy sector which makes traceability, along with supporting documentary standards and regulatory regimes vital.
Turning data into actionable information is vital to the success of any Industry 4.0 project. Suzanne Gill finds out what data analytic solutions are available today for both process and factory applications and gathers advice about successful integration of these solutions.
Dr Chris Mills looks at the challenges of testing and calibrating flowmeters used in high pressure and high temperature applications.
To get the most out of data that already exists in the production environment requires cooperation between data scientists and production experts.
Lee Sullivan explains how food and beverage manufacturers can use predictive analytics to reduce product waste and downtime.
With more advanced predictive maintenance tools at their disposal, today’s maintenance and operations teams can improve efficiencies and minimise unplanned downtime, says Phil Burge.
Any unscheduled downtime will cause a major headache for engineers in the food and beverage manufacturing sector. John Rowley believes that predictive maintenance can offer a solution.
Find out how Hydro Extrusions Hungary has been able to reduce quality problems in the finished profile of its extruded aluminium products.
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