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Books on the topic 'Life Prediction Model'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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1

Strangman, T. E. Thermal barrier coating life-prediction model development: Second annual report. Phoenix, Ariz: Garrett Turbine Engine Co., 1986.

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2

Strangman, T. E. Thermal barrier coating life prediction model development: First annual report. Phoenix, AZ: Garrett Turbine Engine Co., 1985.

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3

Kitamura, Takayuki. Creep life prediction based on stochastic model of microstructurally short crack growth. [Washington, DC]: National Aeronautics and Space Administration, 1988.

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4

Kitamura, Takayuki. Creep life prediction based on stochastic model of microstructurally short crack growth. [Washington, DC]: National Aeronautics and Space Administration, 1988.

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5

Radhakrishnan, V. Application of an energy-based life prediction model to bithermal and thermomechanical fatigue. [Washington, DC]: National Aeronautics and Space Administration, 1994.

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6

Radhakrishnan, V. Application of an energy-based life prediction model to bithermal and thermomechanical fatigue. [Washington, DC]: National Aeronautics and Space Administration, 1994.

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7

Brenner, Martin J. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

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8

Waskan, Jonathan A. Models and cognition: Prediction and explanation in everyday life and in science. Cambridge, Mass: MIT Press, 2006.

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9

Lifetime prediction and constitutive modelling for creep fatigue interaction. Berlin: Borntraeger, 1996.

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10

Jones, Steven P. Neural network models of simple mechanical systems illustrating the feasibility of accelerated life testing. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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11

Hofman, Tadeusz. The prediction of thermodynamic properties of systems formed by chain-like molecules using a cell-hole group contribution model. Warszawa: Oficyna Wydawnicza Politechniki Warszawskiej, 2003.

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12

Hurd, Michael D. The predictive validity of subjective probabilities of survival. Cambridge, MA: National Bureau of Economic Research, 1997.

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13

Ray, Asok. Damage-mitigating control of a reusable rocket engine for high performance and extended life. Cleveland, Ohio: Lewis Research Center, 1995.

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14

The new Weibull handbook: Reliability & statistical analysis for predicting life, safety, risk, support costs, failures, and forecasting warranty claims, substantiation and accelerated testing, using Weibull, Log normal, crow-AMSAA, probit, and Kaplan-Meier models. 5th ed. North Palm Beach, Fla: R.B. Abernethy, 2006.

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15

M, Nissley D., Sheffler Keith D, and United States. National Aeronautics and Space Administration., eds. Thermal barrier coating life prediction model development. [Washington, DC]: National Aeronautics and Space Administration, 1991.

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16

Center, Lewis Research, ed. Thermal barrier coating life prediction model: Second annual report. [Cleveland, Ohio]: Lewis Research Center, 1986.

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17

H, Pilsner B., and Lewis Research Center, eds. Thermal barrier coating life prediction model: First annual report. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1985.

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18

Thermal barrier coating life prediction model: Second annual report. [Cleveland, Ohio]: Lewis Research Center, 1986.

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19

V, Hillery R., and United States. National Aeronautics and Space Administration., eds. Thermal barrier coating life prediction model development: Final report. [Washington, DC]: National Aeronautics and Space Administration, 1989.

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20

United States. National Aeronautics and Space Administration, ed. Thermal barrier coating life prediction model development: Second annual report. [East Hartford, CT]: United Technologies Corporation, Pratt & Whitney Group, Engineering Division., 1986.

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21

Allen, D. H. Life Prediction Model for Laminated Composite Structural Components/N90 22614/ll. Natl Technical Information, 1990.

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22

D, Sheffler K., Ortiz Milton, and Lewis Research Center, eds. Thermal barrier coating life prediction model development: Phase 1, final report. Cleveland, Ohio: NASA Lewis Research Center, 1989.

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23

H, Allen David, Texas A & M University. Mechanics and Materials Center., and Langley Research Center, eds. A life prediction model for laminated composite structural components: Final technical report. College Station, Texas: Mechanics and Materials Center, Texas A&M University, 1990.

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24

Sreeramesh, Kalluri, Halford Gary R, and United States. National Aeronautics and Space Administration., eds. Application of an energy-based life prediction model to bithermal and thermomechanical fatigue. [Washington, DC]: National Aeronautics and Space Administration, 1994.

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25

Sreeramesh, Kalluri, Halford Gary R, and United States. National Aeronautics and Space Administration., eds. Application of an energy-based life prediction model to bithermal and thermomechanical fatigue. [Washington, DC]: National Aeronautics and Space Administration, 1994.

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26

R, Halford Gary, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Application of thermal life prediction model to high-temperature aerospace alloys B1900+Hf and Haynes 188. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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27

J, Verilli Michael, Halford G. R, and United States. National Aeronautics and Space Administration., eds. A creep cavity growth model for creep-fatigue life prediction of a unidirectional W/Cu composite. [Washington, DC]: National Aeronautics and Space Administration, 1992.

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28

Thompson, Summer L., and Stephanie C. Dulawa. Pharmacological and Behavioral Rodent Models of OCD. Edited by Christopher Pittenger. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228163.003.0035.

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Obsessive-compulsive disorder (OCD) is a severe psychiatric disorder characterized by obsessions and/or compulsions. Only half of patients respond to first-line pharmacological treatments, and symptom relief is typically partial, even in responders. Gaining a better understanding of OCD etiology could lead to better treatments, and potentially to prevention. Animal models are a useful tool for studying neurobiological mechanisms underlying psychiatric phenotypes. Effective use of animal models requires identification of reliable, quantifiable features of the disorder of interest that can be me
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29

Birch, Jonathan. The Rule under Attack. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198733058.003.0003.

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HRG has been criticized for being an ‘empty statement’ or tautology, for failing to yield predictions, and for failing to yield causal explanations of change. There is some justification for these charges, yet they do not undermine the value of HRG as an organizing framework. In response to the ‘tautology’ complaint, we should admit that HRG is tautology-like, in that it avoids detailed dynamical assumptions. But this is an advantage in an organizing framework, because it ensures its compatibility with a wide range of more detailed models. In response to the ‘prediction’ complaint, we should c
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30

Rick, Lind, and Dryden Flight Research Facility, eds. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

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31

Rick, Lind, and Dryden Flight Research Facility, eds. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

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32

Rick, Lind, and Dryden Flight Research Facility, eds. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

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33

Rick, Lind, and Dryden Flight Research Facility, eds. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

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34

P, Phillips E., Swain M. H, and Langley Research Center, eds. Fatigue-life prediction methodology using small-crack theory. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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35

P, Phillips E., Swain M. H, and Langley Research Center, eds. Fatigue-life prediction methodology using small-crack theory. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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36

P, Phillips E., Swain M. H, and Langley Research Center, eds. Fatigue-life prediction methodology using small-crack theory. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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37

P, Phillips E., Swain M. H, and Langley Research Center, eds. Fatigue-life prediction methodology using small-crack theory. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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38

Tibaldi, Stefano, and Franco Molteni. Atmospheric Blocking in Observation and Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.611.

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The atmospheric circulation in the mid-latitudes of both hemispheres is usually dominated by westerly winds and by planetary-scale and shorter-scale synoptic waves, moving mostly from west to east. A remarkable and frequent exception to this “usual” behavior is atmospheric blocking. Blocking occurs when the usual zonal flow is hindered by the establishment of a large-amplitude, quasi-stationary, high-pressure meridional circulation structure which “blocks” the flow of the westerlies and the progression of the atmospheric waves and disturbances embedded in them. Such blocking structures can hav
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39

United States. National Aeronautics and Space Administration., ed. Acoustic fatigue life prediction for nonlinear structures with multiple resonant modes: Final report. [Washington, DC: National Aeronautics and Space Administration, 1992.

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40

United States. National Aeronautics and Space Administration., ed. [Life prediction and constitutive models for engine hot section anisotropic materials program]: [interim report]. [Washington, DC: National Aeronautics and Space Administration, 1992.

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41

Sang-Shik, Kim, and Langley Research Center, eds. Environment enhanced fatigue crack propagation in metals: Inputs to fracture mechanics life prediction models. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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42

G, Meyer T., Walker K. P, and United States. National Aeronautics and Space Administration., eds. Life prediction and constitutive models for engine hot section anisotropic materials program: Final report. [Washington, DC: National Aeronautics and Space Administration, 1992.

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43

Life prediction and constitutive models for engine hot section anisotropic materials program: Annual status report. [East Hartford, CT: United Technologies Corporation, Pratt & Whitney, Engineering Division, 1986.

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44

Oaksford, Mike, and Nick Chater. Causal Models and Conditional Reasoning. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.5.

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There are deep intuitions that the meaning of conditional statements relate to probabilistic law-like dependencies. In this chapter it is argued that these intuitions can be captured by representing conditionals in causal Bayes nets (CBNs) and that this conjecture is theoretically productive. This proposal is borne out in a variety of results. First, causal considerations can provide a unified account of abstract and causal conditional reasoning. Second, a recent model (Fernbach & Erb, 2013) can be extended to the explicit causal conditional reasoning paradigm (Byrne, 1989), making some no
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45

Chiu, Alan Wing Lun. Online classification and prediction of spontaneous seizure-like events in in-vitro epilepsy models. 2006.

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46

A, Swanson G., and United States. National Aeronautics and Space Administration., eds. Life prediction and constitutive models for engine hot section anisotropic materials program: Second annual status report. [Washington, DC: National Aeronautics and Space Administration, 1987.

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47

Kleespies, Phillip M., and Christopher G. AhnAllen. Evaluating and Managing Suicide Risk in Veterans. Edited by Phillip M. Kleespies. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199352722.013.14.

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This chapter examines the findings on which populations of military veterans are known to be at risk of suicide. The impact of military culture on veterans as well as the impact of deployment, combat trauma, and sexual trauma are discussed, as well as the difficulties of readjusting to civilian life, particularly when the veteran has served in a combat zone. The chapter reviews some of the barriers that veterans must deal with when in need of mental health care. The limits of suicide prediction are discussed and a model for assessing suicide risk using risk factors within high risk diagnoses,
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48

Fitzpatrick, Mark W. Analytical method for the prediction of reliability and maintainability based life-cycle labor costs. 1996.

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49

1945-, McMeekin T. A., ed. Predictive microbiology: Theory and application. Taunton, Somerset, England: Research Studies Press Ltd., 1993.

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50

Reliability, Life Testing and the Prediction of Service Lives: For Engineers and Scientists (Springer Series in Statistics). Springer, 2007.

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