Machinery Lubrication magazine published by Noria Corporation
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ML PUBLISHER Mike Ramsey - mramsey@noria.com GROUP PUBLISHER Ryan Kiker - rkiker@noria.com EDITOR-IN-CHIEF Jason Sowards - jsowards@noria.com SENIOR EDITOR Jim Fitch - jfitch@noria.com TECHNICAL WRITERS Wes Cash - wcash@noria.com Alejandro Meza - ameza@noria.com Bennett Fitch - bfitch@noria.com Michael Brown - mbrown@noria.com Matthew Adams - madams@noria.com Devin Jarrett - djarrett@noria.com GRAPHIC ARTISTS Patrick Clark - pclark@noria.com Josh Couch - jcouch@noria.com ADVERTISING SALES Tim Davidson - tdavidson@noria.com 800-597-5460, ext. 224 Teresa Dallis - tdallis@noria.com 800-597-5460, ext. 256 CORRESPONDENCE You may address articles, case studies, special requests and other correspondence to: Editor-in-Chief MACHINERY LUBRICATION Noria Corporation 1328 E. 43rd Court • Tulsa, Oklahoma 74105 Phone: 918-749-1400 Fax: 918-746-0925 Email address: editor@noria.com MACHINERY LUBRICATION Volume 19 - Issue 2 March-April 2019 ( USPS 021-695) is published bimonthly by Noria Corpo- ration, 1328 E. 43rd Court, Tulsa, OK 74105-4124. 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Noria shall not be liable for any injuries, loss of profits, business, goodwill, data, interruption of business, nor for incidental or consequential merchantability or fitness of purpose, or damages related to the use of information or recommendations provided. to condition monitoring to confirm that we have positive feedback to these actions. Did the course correction really work to remedy a problem or improve overall machine perfor- mance? Perhaps another course correction must be tested? e IIoT is a critical enabler that some say is long overdue. It implants sensors that are "tuned in" to the real-time dynamics of our machines. After all, the failure development period (P-F interval) can vary from milliseconds to years. e IIoT provides the continuous vigilance to the onset of anything that is changing and might compromise reliability and sustainability of our machines and processes. Figure 2 shows a simple illustration of the circular condition control process. It's time to morph condition monitoring into condition control. Real-time Sensing and Edge Computing Today, more and more machines are fitted with onboard "edge computing" or distributed intelligence. Data is still fed to the cloud or a centralized location, but decisions can be made locally. ere's also artificial intelligence (AI), which involves computers powered by sophis- ticated, self-learning software using algorithms that mimic human intelligence. AI is more common in consumer products but is still in its infancy in industrial product applications, especially condition monitoring. More practical and effective is augmented intelligence. With augmented intelligence, the human's super-computer (brain) teams with man-made computers to collect and convert data to actionable information. For instance, visual operator inspection data that is scanned or keyed into a handheld device can be augmented by pairing it with data generated from online condition monitoring sensors. See Figure 3 for a simple visual on augmented intelligence. In real time, this data can dictate machine control and movement to optimize and sustain machine health and operating conditions. ese are like guidance systems that respond to current conditions, providing adaptive control in response to instant changes. e state of the machine is constantly monitored and recalibrated. Real-time sensing can be shared between the system controller (like a PLC) and the condition monitoring controller. is provides a functional interface enabled by an IIoT platform Condition Control Condition Monitoring Condition Analysis Figure 2. Condition monitoring is only the data acquisition stage of condition control (sustained reliability). Condition analysis converts this data into meaningful infor- mation about the state of the machine. Condition response puts this information to work by converting it into actionable course corrections, executed either by humans or autonomously by the machine. Condition Response Figure 3. When human intelligence is augmented by artificial intelligence, the optimum result can be achieved. Human Intelligence Augmented Intelligence Artificial Intelligence REAL WORLD COMPUTER-GENERATED