Damage Accumulation: A New Generalized Machine Health and Condition Indicator for Continuous Monitoring



Jacob Loverich Jeremy Frank David Kraige Gary Koopmann Ashok Belegundu Michael Grissom


This paper presents a new Damage Accumulation machine health indicator that trades precision for ease of use and broad applicability, effectively addressing the challenges of practically applying continuous monitoring to large numbers of assets such as pumps, motors, gearboxes, and fans. Damage Accumulation offers comprehensive early warning indication for a broad range of faults that can in turn be used to trigger detailed analysis. Damage Accumulation is a time series vibration analysis technique that estimates the rate at which damage is accumulated at a given location. This indicator accounts for time-varying symptoms in machines which are often overlooked by traditional vibration diagnostic frequency analysis or time series analysis. It also considers the contribution of repeated load reversal cycles to component damage and the nonlinearity in the relationship between damage and vibration amplitude. This paper presents the fatigue analysis foundation of Damage Accumulation and demonstrates its efficacy in a bench test and in a high pressure pumping field example.

How to Cite

Loverich, J., Frank, J., Kraige, D., Koopmann, G., Belegundu, A., & Grissom, M. (2015). Damage Accumulation: A New Generalized Machine Health and Condition Indicator for Continuous Monitoring. Annual Conference of the PHM Society, 7(1). https://doi.org/10.36001/phmconf.2015.v7i1.2770
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CBM, vibration analysis, Health indicator

ASTM E1049 -85 Standard practices for cycle counting in fatigue analysis (Reapproved 2011). Basquin, O. H. “The Exponential Law of Endurance Tests.” American Society for Testing and Materials, Proceedings Vol. 10 (1910): 625-30.
Erwin V. Zaretsky, P.E. In search of a fatigue limit: A critique of ISO 281:2007 Tribology and Lubrication Technology, August 2010.
Giyanani, A., A concept study on the estimation of occurrence probability of wind turbine fatigue loads resulting from uncertainty in site conditions, MS Thesis, web document. Harris Tedric A Rolling Bearing Analysis. John Wiley and Sons, New York 1984
ISO 281:2007 Rolling bearings -- Dynamic load ratings and rating life. 2007.
ISO 10816:1-8 Mechanical Vibration, 1995-2015.
Sullivan, G.P., et al., Operations & Maintenance Best Practices, a Guide to Achieving Operational Efficiency,
US Department of Energy publication, 2002.
Smart Wireless Estimator, http://www3.emersonprocess.com/rosemount/wirelesse stimator/, 2015.
Manson. S.S., Gary R. Halford Fatigue and Durability of Structural Materials, ASM International, Materials Park, OH 2006.
Nowlan, F. Stanley, and Howard F. Heap. Reliability-Centered Maintenance. Report Number AD-A066579, United States Department of Defense, 1978. Piotrowski, J. Pro-Active Maintenance for Pumps, PumpZone.com, Archives, 2001.
P. Ragan and L. Manuel, Comparing estimates of wind turbine fatigue loads using time-domain and spectral methods, Wind Engineering vol 31, no 2, 2007, pp 83- 99.
Rychlik. Note on modelling of fatigue damage rates for non- Gaussian stresses, Fatigue and Fracture of Engineering Materials and Structures, vol 36, issue 8, pp 750-759, Aug 2013.
IEA Report 2009, IEA Statistics, CO2 Emissions from fuel combustion
Technical Papers