MACHINERY LUBRICATION- INDIA NOVEMBER-DECEMBER 2019 | Page 6

AS I SEE IT Condition Monitoring Condition Control Condition Response Condition Analysis Figure 2. Condition monitoring is only the data acquisition stage of condition control (sustained reliability). Condition analysis converts this data into meaningful information 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. event, it often is referred to as predictive analytics. Either way, it takes condition monitoring one step further — a very important step. This could be called condition analysis. However, we’re not done, as we need the response piece. This is the function of doing something actionable (real-time course corrections) with this information. This is called condition response. But we’re still not done. We now need to return to condition monitoring to confirm that we have positive feedback to these actions. Did the course correction really work to remedy a problem Human Intelligence or improve overall machine performance? Perhaps another course correction must be tested? Publisher The 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. The 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. [email protected] 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. There’s also artificial intelligence (AI), which involves computers powered by sophisticated, 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 Augmented Intelligence Artificial Intelligence REAL WORLD COMPUTER-GENERATED Figure 3. When human intelligence is augmented by artificial intelligence, the optimum result can be achieved. 4 | November - December 2019 | www.machinerylubricationindia.com Udey Dhir - [email protected] Creative Director Advertisement Sales (India) [email protected] Advertisement Sales (US/Canada) Teresa Dallis - [email protected] Advertisement Sales (All Other Countries) [email protected] [email protected] CORRESPONDENCE You may address articles, case studies, special requests and other correspondence to our Operation office : Editor 213, Ashiana Centre, Adityapur, Jamshedpur-831013, India email : [email protected] Tel: [phone] Tel:(USA): [phone] Marketing Office Rider House, 136, Sector 44, Gurgaon-122003, Haryana National Capital Region, India Machinery Lubrication India Volume 44 - Issue 6, November-December 2019 is published bi-monthly by VAS Tribology Solutions Pvt. Ltd. Operation Office:213, Ashiana Centre, Adityapur, Jamshedpur-831013, India. 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