Publishers Note
In the era of smartphones, I am sure all users of these devices are already aware, least little familiar with artificial Intelligence primarily through virtual assistants, such as Siri, Alexa, and Google. Artificial Intelligence makes automation, repetitive learning and discovery through data after initially being set up by a human being. Artificial intelligence adapts through progressive learning algorithms. The more we use these the more they become accurate. These are still very much first-generation products and many of these are unable to go beyond a single threaded conversation, but in other fields like health, education, automobiles, space, logistics, machine learning and tribology etc. many advances have been made which have made the human life a little easier.
Artificial intelligence (AI) based on object recognition, image classification and deep learning is now being used to spot cancer on MRIs with the same accuracy as a highly trained radiologist. This medical artificial intelligence has already gone beyond our helpful assistance.
An artificial Intelligence technology making future development as it could replace laboratories & technicians within the next decade due to the astronomical rise in the cost. It could become indispensable to our current reliability practitioners, allowing them to reach the right prognosis quicker and with greater accuracy. In recent newly innovated sensors have replaced the routine laboratory analysis of in-service lubricants. This avoids the need to take samples, dispatch them to the laboratory, testing and then interpretation. The sensor could be programmed to give live readings of the parameters with alert and alarm limits setup to keep you warned on the condition of the lubricant and an indicator of when the oil needs to be changed.
The combo of blockchain, Artificial Intelligence, and deep learning could personalize lubrication in a truly amazing way. Recommendations are based on equipment history, working and environmental conditions, load factors, current lubrication regime, geography, atmospheric conditions, and past maintenance history.
This may sound a little futuristic, but these are the developments that we are most likely to see in the days to come. Millions of Dollars are being spent on AI and useful applications are being devised to improve the quality of work, save time and save manpower.
Besides the cover story on Machine Learning and Artificial Intelligence in Tribology, we have several other articles on lubricants, lubrication & reliability. It also includes a brief report on the recently concluded Reliable Plant Conference & Exhibition which was organised by Noria Corporation from 25-28th July 2022 in Orlando, Florida (USA). This is one of the biggest shows on “Lubrication Enabled Reliability”. Several international companies from around the globe participated in the exhibition. Besides this several topical papers were also presented on the subject.
We would be happy to receive your feedback on how we can make our magazine more informative and interesting for our readers.
Meanwhile, stay safe & healthy.
Warm regards,
Udey Dhir
