Rotating Machinery Health Monitoring

Award Information
Agency:
Department of Defense
Amount:
$749,889.00
Program:
SBIR
Contract:
FA9101-13-C-0011
Solitcitation Year:
2007
Solicitation Number:
2007.2
Branch:
Air Force
Award Year:
2013
Phase:
Phase II
Agency Tracking Number:
F073-135-1655a
Solicitation Topic Code:
AF073-135
Small Business Information
Mechanical Solutions, Inc.
11 Apollo Drive, Whippany, NJ, -
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
015334899
Principal Investigator
 Jeremy Weiss
 Project Engineer III
 (973) 326-9920
 jaw@mechsol.com
Business Contact
 Eric Olson
Title: VP Sales and Marketing
Phone: (973) 326-9920
Email: ejo@mechsol.com
Research Institution
N/A
Abstract
ABSTRACT: Mechanical Solutions Inc. is developing a general rotating machinery predictive maintenance (PDM) system called Sentry. The goal of the effort is to deploy the system on various machinery trains throughout Arnold Air Force Base. The generalized architecture of the system will also make it immediately commercially attractive to the industrial machinery community. The system can be tailored to specific machinery trains through the use of a user-friendly graphical user interface (GUI). It makes use of the existing sensor suite of the machinery with the capability to incorporate additional sensors if desired. Sentry can be easily configured to acquire and record data based on a variety of different user-selected control schemes. Many different condition indicators (CIs) are calculated and trended. These CIs can then be output in a format compatible with the other asset management software. During this proposed Phase II effort improvements will be made regarding many aspects of the software, particularly with regard to data storage, playback, and usability. BENEFIT: The developing Sentry System represents a health monitoring product that does not exist on the current market. It provides flexibility to be applied to a variety of plant machinery through a user-friendly GUI. Inputs to and outputs from the system are easily understood and the problem of data overload is alleviated through reduction techniques filtering down to key diagnostic information. Machinery at power plants, processing plants, refineries, water treatment plants, and other locations will benefit from this technology.

* information listed above is at the time of submission.

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