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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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, […]