Pump Leakage Signals under Several Component Conditions

Authors

  • Michael Hoffman Author
  • Brian Barnes Author
  • Connor Sullivan Author

Abstract

The question concerns diagnostic pump leakage association. The secondary ordinary least squares analysis contains 2,205 observations and uses cluster covariance. The coefficient on TS1_mean is -0.0164, with a 95 percent interval from -0.0444 to 0.0115. Pump leakage is observed alongside other component conditions. Conditional diagnostic associations can differ from causal effects of changing a sensor or component. Robust and worst-case selection require a defined uncertainty set and action model beyond this table. Independent checks under new configurations would be needed to evaluate any maintenance recommendation built from the projection. The estimates describe the released collection and its conditioning set. No new data collection, simulator experiment, or deployment-policy evaluation is claimed.

References

Z. Shi, S. Gao, H. Xiao, and W. Chen, “A Worst-Case Formulation for Constrained Ranking and Selection with Input Uncertainty,” Naval Research Logistics, vol. 66, pp. 648–662, 2019.

S. Gao, H. Xiao, E. Zhou, and W. Chen, “Robust Ranking and Selection with Optimal Computing Budget Allocation,” Automatica, vol. 81, pp. 30–36, 2017.

Nikolai Helwig, Eliseo Pignanelli, Andreas Schtze. Condition monitoring of hydraulic systems. UCI Machine Learning Repository, 2015. Dataset. https://doi.org/10.24432/C5CW21.

White, Halbert. “A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity.” Econometrica, vol. 48, no. 4, 1980, pp. 817–838. https://doi.org/10.2307/1912934.

Cameron, A. Colin, and Douglas L. Miller. “A Practitioner’s Guide to Cluster-Robust Inference.” Journal of Human Resources, vol. 50, no. 2, 2015, pp. 317–372. https://doi.org/10.3368/jhr.50.2.317.

Rasmussen, Carl Edward, and Christopher K. I. Williams. Gaussian Processes for Machine Learning. MIT Press, 2006. https://gaussianprocess.org/gpml/.

Ankenman, Bruce, Barry L. Nelson, and Jeremy Staum. “Stochastic Kriging for Simulation Metamodeling.” Operations Research, vol. 58, no. 2, 2010, pp. 371–382. https://doi.org/10.1287/opre.1090.0754.

Kim, Seong-Hee, and Barry L. Nelson. “A Fully Sequential Procedure for Indifference-Zone Selection in Simulation.” ACM Transactions on Modeling and Computer Simulation, vol. 11, no. 3, 2001, pp. 251–273. https://doi.org/10.1145/502109.502111.

Frazier, Peter I., Warren B. Powell, and Savas Dayanik. “A Knowledge-Gradient Policy for Sequential Information Collection.” SIAM Journal on Control and Optimization, vol. 47, no. 5, 2008, pp. 2410–2439. https://doi.org/10.1137/070693424.

Bertsimas, Dimitris, and Melvyn Sim. “The Price of Robustness.” Operations Research, vol. 52, no. 1, 2004, pp. 35–53. https://doi.org/10.1287/opre.1030.0065.

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Published

2026-09-28

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Articles