CSX’s Journey to Predictive Maintenance Using Mtell

By | March 31st, 2016|Industrial Internet of Things, News, Predictive Analytics, Predictive Maintenance|

ARTICLE CREDIT: ARC ADVISORY GROUP

ORIGINAL POST BY PETER REYNOLDS ON MARCH 31, 2016

Yousef-Abdul Moty, Director of Locomotive Engineering with CSX, a US-based rail transportation company, presented at the ARC Orlando conference, the company long term strategy and use of predictive maintenance, with Mtell as […]

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4Atmos Technologies Announces Strategic Partnership with Mtell

By | January 15th, 2016|News, Partners, Predictive Maintenance|

The Partnership Provides Transportation and Industrial Markets with Implementation and Consulting Services for Mtell Software

WAXAHACHIE, TEXAS (January 14, 2016) – 4Atmos Technologies LLC, a technical consulting firm for transportation and industrial markets, today announced it has entered into a strategic partnership with Mtell, a leading asset health software solution provider […]

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Frost & Sullivan Applauds the Disruptive Value of Mtell’s Leading-edge Machine Learning Analytics Platform in the Oil & Gas Industry

By | May 18th, 2015|Awards, Machine Learning, Mtell Previse, Predictive Analytics, Predictive Maintenance, Press Release, Smart Machines|

The platform’s interoperability with in-house maintenance systems aids seamless changes and modifications of existing maintenance plans

MOUNTAIN VIEW, Calif. (May 19, 2015) – Based on its recent analysis of the big data and analytics market in the oil & gas (O&G) industry, Frost & Sullivan recognizes Mtell with […]

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Mtell and MapR Deploy Big Data Platform for Oil and Gas to Manage Real-time and Historical Sensor Data

By | March 26th, 2015|Big Data, Machine Learning, Mtell Previse, Partners, Predictive Analytics, Predictive Maintenance, Press Release|

Collaborative Hadoop-based solution handles over 100 million data points per second to enable predictive maintenance on oil rigs

SAN DIEGO and San Jose, Calif. – March 25, 2015 – Mtelligence Corporation (dba Mtell), and MapR Technologies, Inc., provider of the top-ranked distribution for Apache™ Hadoop®, today announced […]

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Mtell to Exhibit at Reliability 2.0 in Las Vegas

By | March 20th, 2014|Conference, Events, Predictive Maintenance, Reliabilty, Uncategorized|

Starting next week, Mtell will exhibit at Reliability 2.0 at the South Point Hotel in Las Vegas. Hosted by Reliabilityweb.com® and Uptime® Magazine, Reliability 2.0 features innovative strategies for plant reliability practices, addressing opportunities to increase production and lower costs. Topics covered include maintenance work management, reliability centered maintenance, computerized […]

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Mtell Production-centered Maintenance

By | January 23rd, 2014|Machine Learning, Predictive Maintenance, Smart Machines|

In the last few decades, optimization of process operating conditions to create superior production and quality occupied the mindshare in process industries. In recent years, however, the focus has transitioned from superior production quality to maintenance and reliability, with machine uptime as the highest priority.

For example, an enterprise can only […]

The Earliest Failure Detection

By | December 20th, 2013|Machine Learning, Mtell Previse, Predictive Maintenance|

The P in the P-F curve is the “earliest point at which the onset of failure can be detected.”

“The Cause – The Symptoms – The Consequences” is a sequence indicating the initial root cause of an equipment problem, the way in which it may be detected, and the outcomes of […]

Who Needs to Wait for Smart Machines?

By | November 26th, 2013|Anomaly Detection, Machine Learning, Predictive Maintenance, Smart Machines|

What does smart actually mean? According to Miriam-Webster, the adjective “smart” is defined as being very good at learning or thinking about things and showing intelligence or good judgment. However, the label smart gets applied to many technology devices that are not smart at all. Being able to follow a […]

Machine Breakdowns are Ancient History

By | July 17th, 2013|Machine Learning, Predictive Maintenance|

Long before a machine breakdown, tiny signs and symptoms occur that are undetectable by humans or simple sensors. The first time failure indicators become apparent is when there are slight changes in the process, which might show as a microscopic change in amps on a motor. Gradually those miniscule symptoms […]

How does Mtell fit into the Maintenance Acronym Soup?

By | June 15th, 2013|Condition Monitoring, Predictive Maintenance, Smart Machines|

“It takes a courageous fool to say things that have not been said and to do things that have not been done.” ― Criss Jami, Venus in Arms

The core of the Mtell solution is machine learning-based condition monitoring; the fastest and most accurate available today. Mtell makes machines smart so […]