@inproceedings{1e0ead3f0fba45788bbfde88af384813,
title = "Damage accumulation: A new generalized machine health and condition indicator for continuous monitoring",
abstract = "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.",
author = "Jacob Loverich and Jeremy Frank and David Kraige and Gary Koopmann and Ashok Belegundu and Michael Grissom",
note = "Publisher Copyright: {\textcopyright} 2015, Prognostics and Health Management Society. All rights reserved.; 2015 Annual Conference of the Prognostics and Health Management Society, PHM 2015 ; Conference date: 18-10-2015 Through 22-10-2015",
year = "2015",
language = "English (US)",
series = "Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM",
publisher = "Prognostics and Health Management Society",
pages = "154--164",
editor = "Daigle, {Matthew J.} and Anibal Bregon",
booktitle = "PHM 2015 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2015",
}