Invest in Predictive Maintenance? Benefits and Risks of Investing in PdM
The purpose of Predictive Maintenance Programs (PMP) is to prevent and/or reduce unscheduled outage of equipment. The direct business benefits are in reduced maintenance costs, maintenance time spent and number of breakdowns.
OEM 4.0 – Three Ways Valve and Pump Manufacturers Can Turn Data into Dollars
The Fourth Industrial Revolution is transforming manufacturing. While some businesses respond to these developments with fears of a disruptive change, others can foresee the potential for profits in the use of data, artificial intelligence and IIoT.
Three Myths About Manufacturing in the Times of Big Data and AI
Big data, the internet of things and artificial intelligence have changed manufacturing in unprecedented ways. What are the myths that the ability to collect data from machines to monitor their condition and predict their behavior have brought?
Big Data in Small Places – 5 Ways your Pumps and Valves Can Save you Millions
Smart companies are saving millions of dollars on their industrial assets using big data to predict and resolve problems before they even arise. That means lower maintenance costs, higher efficiency, more uptime and less unplanned outages.
How to Improve Situational Awareness Part 1
An information overload on alarm generation of assets does not allow operators to take timely and appropriate responses. Consequential alarm/event analysis help to greatly reduce irrelevant alarms.
Citizen Data Science – a Driver for Better IoT and CEP Solutions
Strategic and Operational intelligence demands new tools and solutions using better analytics, especially connecting Machine Learning (ML) techniques on live event and data streams to enable Predictive & Prescriptive Analytics.
Starting an CBM/PdM Project – Key Learnings
This post describes key learnings that we have experienced at UReason in various CBM/PdM endeavours; they are centered around: Process, Ambition and Leadership & Support
IIoT Communication Readiness – What You Need to Know
The communication layer in the Industrial Internet of Things (IIoT) is responsible for relaying sensor values from the field to northbound processing of this data and the southbound control.
The Industrial Internet of Things – Hype or Reality?
IIoT is IoT technology mixed with machine learning, (big-)data and stream processing of data and events. The objective to improve operational efficiency which can be reduction of waste, energy usage, extending assets remaining useful lifetime etc.