IIoT based Predictive Maintenance 4.0 (Part 1)

Predictive Maintenance for Domain-Specific Pumps through Intelligent Asset Farms Management and Monitoring Introduction Predictive maintenance (PdM) with the industrial internet of things (IIoT) for digital assets has generated significant interest in the oil and gas industry (OGI) like many others. The OGIs are interested in predicting the field-specific specialized equipment pump (asset) failures well advance…

IIoT based Predictive Maintenance 4.0 (Part 2)

What are the limitations of traditional maintenance techniques? Traditional predictive maintenance is more of a reactive/condition-based monitoring system. Conditions are manually defined by alarms/warnings generated by some standard assumptions. If those alarms are triggered, operators are alerted and actions are taken accordingly. However, it sounds simple but there are significant limitations to such a traditional…

IIoT based Predictive Maintenance 4.0 (Part 3)

How did we develop a comprehensive platform for PdM? The amount of data collected by the digital assets farm is humongous. To acquire, store, analyze and visualize such data using traditional software may not be efficient and scalable. Accurate prediction of failure events well advance in time requires more powerful and robust ML algorithms. There…

Sentiment Analysis with Topic Modelling

What is it Sentiments, feelings and emotions are an integral part of human nature. Over 2.5 quintillion bytes of data are created every single day. Twitter itself generates 500 million tweets every day. Sentiment Analysis deals with examining the study of textual data like posts, blogs, reviews, etc. expressed by users regarding their views and opinions…