Featured Whitepapers

Using the RCM model of determining failure modes, this paper takes apart lubricant failures specific to all related processes. It covers failures associated with temperature, moisture and particles so that they can be understood and eliminated. There is also a discussion on lubrication program failures that are common in most operating plants around the world.
Precision alignment is an essential part of a proactive reliability program as it can eliminate many machine failures and defects. This Infographic outlines an easy and effective way to align your belt-driven equipment. Download your copy now!
Sensors, monitors, and other Internet-connected devices are increasingly being used to track, monitor, and control physical objects in production plants, traveling on ships, planes, trains and trucks, or at the store. Sensors can monitor factory or stockroom inventory. According to recent reporting in Fortune, IoT sensors can be used to continuously monitor machine performance, schedule preventative maintenance, and even predict breakdowns, reducing maintenance costs up to 25 percent, cutting unplanned outages up to 50 percent, and extending machine life by years. This is a potential revolution in supply-chain efficiency, equipment upkeep, and inventory management.
Traditional preventive maintenance alone cannot solve the problems of unexpected breakdowns. With asset performance management powered by low-touch machine learning, it’s now possible to extract value from decades of process, asset and maintenance data to optimize asset performance. In this white paper, learn how this disruptive technology deploys precise failure pattern recognition with very high accuracy to predict equipment breakdowns months in advance and advise on prescriptive maintenance. The paper also outlines five best practices for driving state-of-the-art reliability management to increase production and profitability.

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