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On-site Oil Analysis Solutions That Optimize Asset Performance and Lower Costs

This presentation will describe how organizations are embracing on-site oil analysis across the enterprise, allowing standardization of asset health metrics to improve data quality for IoT 4.0 analytics. This type of analysis enables reliability teams to optimize asset performance and lower costs.

Originally presented: March 26, 2020
Duration: 1 hour
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Multi-site organizations want to leverage successful initiatives across their enterprise and harvest information to optimize asset performance and lower costs. Oil analysis data, used for condition monitoring, provides a wealth of data; however, companies up to now have struggled to extract valuable insights due to:

  • A variety of testing providers with different data structures
  • Data with poor repeatability and poor sampling techniques
  • Inconsistent diagnostics that lead to a variety of action outcomes .

This webinar will describe how enterprise organizations are overcoming these challenges by moving towards on-site oil analysis. With this approach, test procedures are standardized, poor sampling practices are designed out and data is viewed both at the site and at the enterprise level. The TruVu 360 Fluid Intelligence Platform permits default alarms, recommendations and feedback to be edited and expanded, thus capturing the tribal knowledge of the organization and improving the quality of data. These improvements make IoT analytics more efficient and insightful, allowing reliability directors to identify opportunities for improvement.

These new solutions allow equipment owners and maintainers in power generation, food and beverage, railroad, off highway, trucking and portable power industries to lower their maintenance costs while maintaining equipment availability.

Key Takeaways

  • Learn about the latest in on-site oil analysis solutions for industry
  • Gain insight into enterprise fluid intelligence platform examples
  • Review case studies of how success is leveraged across the organization
  • Understand how prognostics will determine remaining useful life and reduce sample volume


Daniel P. Walsh, Director of Product Management, Ametek Spectro Scientific Inc.

Daniel P. Walsh is the Director of Product Management/Technical Sales for Ametek Spectro Scientific, responsible for providing oil analysis solutions globally to meet customer needs in the industrial, fleet and laboratory markets. Daniel has been with Spectro in sales, application engineering and product leader roles since 2010. Prior to this, he worked at BTS as Technical Director and General Manager of the oil and fuel analysis laboratory for almost 15 years. He began his career as a Metallurgical Test Engineer at Pratt & Whitney, Hartford CT USA. He has a BS in Materials Science and Engineering from University of Limerick, and an MSc in Engineering Management from Tufts University. He also is a STLE Certified Lubrication Specialist.

Lisa Williams, Technical Solutions Engineer, Ametek Spectro Scientific Inc.

Lisa is a maintenance and reliability professional with over 10 years of experience working in tribology and reliability engineering. Specializing in lubricant analysis, she currently serves on the Technical Solutions Sales Team at Spectro Scientific. She is certified by the Society of Tribologists and Lubrication Engineers (STLE) as a Certified Lubrication Specialist (CLS) and also holds Machinery Lubrication Technician I (MLA I) and Laboratory Lubricant Analysts II (LLA II) certifications with the International Council of Machinery Lubrication (ICML). She currently serves as Co-Vice Chair on the American Standards of Testing and Materials (ASTM) D02.96 Committee for In-service Lubricant Testing and Practices and was the technical lead on two ASTM Standards for in-service grease sampling and analysis (ASTM D7718 and ASTM D7918). Lisa holds a B.S. in Chemistry from York College of Pennsylvania and an M.B.A. from Elizabethtown College.