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MBB Consulting™ - Machine Condition Signature Analysis Training In Tulsa, OK

Machine Condition Signature Analysis Training In Tulsa, OK

Machine Condition Signature Analysis Training
Tulsa is Oklahoma's 2nd largest city and cultural hub. MCSA training is preventive maintenance Tulsa students use to minimize downtime.
Price $349 / student
Duration 1 day
Format In-person, instructor-led slideshow with exercises and a quiz to test comprehension.
Materials Each student will receive a 3-ring binder containing print-outs of the slideshow. Assuming satisfactory quiz results graded a few days after class, each student will receive a Certificate of Completion.
Class Size4 - 10 students
Start Day Options
SUMOTUWETHFRSA
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facility match
CityTulsa, OK

Recommended Dates

The following dates are recommended because they have a low minimum student requirement, or students are enrolled but not yet enough to hold a class. Please choose a date for your Machine Condition Signature Analysis Training class. Dates are formatted as year-month-day:


All Dates

If none of the recommended dates work with your schedule, that's ok. Please choose a date from the list below:



About Machine Condition Signature Analysis Training


Who is Machine Condition Signature Analysis Training for?

Machine Condition Signature Analysis training is for anybody interested in lowering the downtime of their machines. In our course, Tulsa students learn:

Machine Condition Signature Analysis Training Course Overview:

MCSA training describes Machine Condition Signature Analysis - saving Tulsa students money by replacing unplanned failure with preventive maintenance. Machine Condition Signature Analysis (MCSA) is similar to Statistical Process Control. A gage (accelerometer) is used to take a snapshot of a machine's "normal" performance (i.e. record its "signature"). Specifically, signatures are usually collected for each of the machines high-wear components; motors, pumps, etc. Periodic measurements are then taken over time to assess deviation from normal. When deviation reaches a defined threshold, the machine is scheduled for preventive maintenance. As such, Machine Condition Signature Analysis improves operational profitability. It pays for itself in the form of lower total maintenance cost and higher uptime.

Tulsa

Oil Capital of the World - A New Kind Of Energy

Excellent choice! Tulsa has been one of America's most significant oil industry centers with more recent diversifications into aviation, finance, telecommunications, and tech. Positioned on the Arkansas River between the Osage Hills and Ozark Mountains foothills, Tulsa flourished with discovery of Glenn Pool's oil. Infrastructure expanded through construction of churches, museums, gardens, and Spavinaw Dam. Now, Tulsa offers many escapes for students after Machine Condition Signature Analysis Training. Most popular of those include Philbrook Museum of Art, and Tulsa Zoo.

Tulsa
SUMOTUWETHFRSA
Tulsa, OK
Credit: Colleenthegreat

Facility

Our Tulsa Training Center is located downtown NE of the E 71st Street and S. Utica Ave. intersection. Nearby are Johnson and Helmerich Parks, and the Arkansas River. Features include an outside seating terrace, and vending machines.

Testimonials

Read what our students and clients have to say.

Greg S.
Greg S.
Sr. Manager, QC Raw Materials
Pharmaceutical


Our instructor was very knowledgeable and patient. He explained and answered questions in a manner than can be understood as simply as possible. I highly recommend this class for anyone that wants to understand GD&T more. Regarding our second class, the Gage R&R training tools provided allowed the class to be interactive and fun without sacrificing learning.



Vidal A.
Vidal A.
Commercialization Manager
Food Production


I was familiar with 5S prior to this training, but the course really gave an in-depth understanding of the principles and purpose. It's a lot more than just organizing and cleaning your work area. MBBC Note: Other students from this class described it as "very insightful and educational" delivered by in instructor who was "very knowledgeable about Lean".