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Anomaly Detection Versus Failure Signature Recognition

When you are in the world of equipment protection, you’ll find all kinds of closely guarded opinions about what works best, and what performs poorly. At Mtell, because we are constantly thinking about how to solve problems, our company is aggressively challenged to prove that we can perform failure signature […]

By | October 30th, 2013|Anomaly Detection, Machine Learning, Uncategorized|0 Comments

When Did Machinery Monitoring Become Machine Learning? Is there a Difference?

In the 1980s, for very expensive equipment such as a single un-spared compressor in an ammonia plant, industrial manufacturing deployed machinery monitoring. The risk of huge production losses justified extraordinary expense. In such “experiments,” highly trained specialist engineers with state-of-the-art super-computers and expensive vibration sensors were dedicated full-time to one […]

Mtell to Attend the SMRP Annual Conference 2013 in Indianapolis

This October, Mtell will be in attendance for the SMRP Annual Conference at the Indianapolis Convention Center. The Society for Maintenance and Reliability Professionals is a nonprofit professional society formed by practitioners, with a mission to serve leaders in the advancing Reliability and Physical Asset Management. There are approximately 3,800 […]

By | October 1st, 2013|Conference, Events, Reliabilty|Comments Off on Mtell to Attend the SMRP Annual Conference 2013 in Indianapolis

Why Does Machine Learning Lead the CBM Pack?

Mtell condition-monitoring has proved to be superior to other technologies for early detection of machine malfunction, minimization of repair costs, and superior uptime; but why?

There are three fundamental reasons: first the solution is self-learning, second it inherently recognizes the precise patterns of a failure, and third it constantly adapts in […]

By | September 26th, 2013|Condition Monitoring, Machine Learning, Oil and Gas|0 Comments

Mtell’s COO to Speak at AFPM Q&A and Technology Forum

The American Fuel and Petrochemical Manufacturers (AFPM), formerly known as the National Petrochemical & Refiners Association, is a trade association that represents high-tech American manufacturers of the U.S. supply of gasoline, diesel, jet fuel, petrochemicals, and other vital fuel products used in daily life. Petrochemicals are used to manufacture […]

By | September 25th, 2013|Big Data, Events, Machine Learning, Press Release, Reliabilty, Smart Machines|Comments Off on Mtell’s COO to Speak at AFPM Q&A and Technology Forum

How is Mtell Able to Transfer Learned Behaviors from One Machine to Another, While Some Claim all Machines are Unique?

Many potential customers begin Mtell engagements heavily skeptical about our claim of Transfer Learning capabilities. It’s true that older technology approaches must treat every machine as unique, but Mtell has pioneered modern techniques that contradict such deep-seated wisdom.

Machine Learning techniques are data-driven; using only pure data to learn baseline normal […]

By | September 4th, 2013|Machine Learning, Oil and Gas, Smart Machines|0 Comments

Brilliant Machines go to School, but Mtell Smart Machines Graduate

What is a brilliant machine, and what makes a machine smart? According to Moshe Vardi, a noted computer scientist at Rice University in Houston, “Everything that humans can do, a machine can do. Things are happening that look like science fiction.” No kidding!

Humans cannot process vast amounts of data like […]

By | August 23rd, 2013|Machine Learning, Smart Machines|0 Comments

How to be a Rock Star with the Industrial Internet

What is the Industrial Internet? Wikipedia defines it as “the integration of complex physical machinery with networked sensors and software… to ingest data from machines, analyze it (often in real-time), and use it to adjust operations.” There are some big names making claims and distinct futuristic videos, but what really […]

By | July 31st, 2013|Industrial Internet of Things, Smart Machines|0 Comments

Machine Breakdowns are Ancient History

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 […]

By | July 17th, 2013|Machine Learning, Predictive Maintenance|0 Comments

Mtell to Present at San Diego Tech Founders’ Demo Night

The San Diego Tech Founders group is hosting a demo night at 6:00 p.m. on July 11, 2013, at One America Plaza in downtown San Diego. The group offers startups the opportunity to showcase their products to the public and connect with the local community of entrepreneurs. Mtell’s Alex Bates, […]

By | June 25th, 2013|Big Data, Events, Machine Learning, Press Release, Reliabilty|Comments Off on Mtell to Present at San Diego Tech Founders’ Demo Night