All About Artificial Intelligence 2020 - New Tamil Rocker

I'm a certified reliability engineer search five functional saves expert have 20 years experience in reliability and safety engineering asset management artificial intelligence. 


All About Artifical Intelligence 2020 - New Tamil Rocker


I've been working for projects for mining oil and gas railway aerospace and defense projects ac SQL shooting is a consulting engineer that provides software solution online training in company and consultant service our main subject is asset management reliability engineering asset integrity management safety engineering logistics integrated sports and now artificial intelligence. 


All About Artificial Intelligence 2020 - New Tamil Rocker


We have a partner across the globe that support us to provide different software solution as well as consulting solutions in different regions of the globe if you get if you want to have more information about cc please visit our website that you have all different information concerning our products our consultant service our books the best project and the online training like this one that you provide now. 


The architectural intelligence for maintenance 4.0 training is online training available in acc website in this training we'll be able to learn methods such as unsupervised machine learning supervised machine learning classification supervised machine learning regression and simple methods and convolutional network in addition you. 


I will introduce the principle of maintenance concept as well as GP concept concerning prognostic health management the training ultra line is present in artificial intelligence for a maintenance force point zero brochure that's available in our website the train is dividing basically in two days the first day I started with the introduction as I'm doing now after that the model should present a basic maintenance concept then I started to dig into more detail information concerning prognostic of management introduction about artificial intelligence. 


I started to describe the unsupervised machine learning methods and supervised machine learning methods classification on the second day I still finish the supervised machine learning classification method and explain the supervised machine learning regression including assemble models convolutional neural network and in the end I represent the concept of asset management workplace 4.0 that's based on the main concept of asset management intelligence by doing this training you started to understand the main concept of maintenance strategy. 


Artificial Intelligence


The evolution of maintenance and then we are going to details to explain the concept behind prognostic health management that will enable you to understand how to predict the remaining useful life and the states of health of equipment however we go in detail and give a clear exponential of different methods concerning supervised machine learning regression that enable you to predict variables independent variables such as remaining used for life based on different methods regress related to supervised machine learning regression in addition. 


We also introduced the concept of machine learning classification that enable you to classify the data of your degradation in different level of degradation such as critical moderate and law as well as classify the criticality of your datasets equipment we also present the concept of unsupervised machine learning that will enable you to cluster the group of different equipment in order to optimize your maintenance a different period of time based on the lowest remaining useful life that your equipment presents and the level of the high level of degradation in addition. 


I'm going to present the assemble methods that enable you to split your data set in different samples of data sets that are on end give you a more reliable result of your regression or classification we also present the concept of convolutional neuronal to work for image classification all these different special intelligence methods will be explained step by step by the use of the software Matlab. 


Then you give step by step description about the code command as well as the applicative in order to enable you to have a clear understanding of how to apply the different artificial intelligence methods related to maintenance 4.0 based on the real case of maintenance. 


In the end, you have a clear understand how to proceed step by step and have a very successful and result of your training the last model you explain the concept of asset intelligence asset management intelligence and then you'll be able to understand how is important to have all this concept and understand about instead about artificial intelligence. 


Conclusion


In order to have a clear understanding how such methods are applied in your daily basis activities and how you can improve your performance in the perform of your sets by applying artificial intelligence as well as integrate artificial intelligence into the contents of asset management all this concept presented this training is described in my book artificial intelligence for maintenance 4.0 welcome to ECC training. 

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