This webinar will take attendees through the progression of shaft alignment technologies, starting from string lines and straightedges, through dial indicators, to today’s advanced laser alignment systems. We’ll explore how each method works, the benefits and limitations, and why modern industries are increasingly turning to laser-based solutions for critical machinery alignment.
Traditionally portable sensor-based condition monitoring systems haven proven their effectiveness over last few decades in managing risks in the critical assets operation and optimization of the maintenance activities. The online condition monitoring systems are becoming more affordable and effective in recent years in terms of transient events detection, data acquisition safety, fault tracking and proactive maintenance of critical assets.
With the advent of the OnTrak Wired autonomous condition-based lubrication system in 2022 and its subsequent wireless evolution, the realm of industrial maintenance has been redefined. This webinar distills the crucial lessons learned and insights gained into the top 10 considerations for successfully adopting and implementing remote, autonomous lubrication systems.
There are several ways to view the impact of maintenance practices using ESA and electrical measurements, the first is the use of simple overall kilowatt readings from a power analyzer or relay monitoring system; the second is the before and after readings from an ESA device that identifies kilowatt data by defect.
Did you know that nearly 80% of all hydraulic systems problems can be traced back to contaminated fluid? An effective hydraulic fluid cleanliness program with proper monitoring, and management of fluid condition and cleanliness, can improve the system efficiency, performance, and lifespan of your hydraulic systems operations. Here is some information on the impact a fluid sample can make to maintaining and monitoring hydraulic fluid cleanliness.
Rules-based ESA/MCSA systems provide immediate detection of electrical system and mechanical health without training periods and with a very high degree of accuracy on the first set of data collected regardless of load or speed in continuous or data collection applications.
Today, many want to “go green” in various aspects of their lives. The question is, what does this mean? It is typically meant to be a business or lifestyle choice to act in environmentally friendly ways...
Do you know the difference between AI, machine learning, predictive analytics, data analytics, IIoT, and predictive maintenance? Jason Tranter goes into the definitions with examples…
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