Session:Â 7C, Tuesday, 26 January 2010, 1330-1530
Moderator:Â Marcia F. P. Salgado, UFMG
This session contains a collection of papers that explore a variety of modeling and analysis approaches for repairable systems, multi-state systems, and systems that age.
Papers:
7C1 [0045] NONPARAMETRIC LIFE CONSUMPTION MODELING OF HIGH END DRILLING TOOLS
by Dustin Garvey, Martin John, Jorg Baumann, Baker Hughes, and J. Wesley Hines, Ph.D., University of Tennessee
This paper will include a description and demonstration of a data driven life consumption model for data collected from high end drilling tools.
7C2 [0244] RELIABILITY OPTIMIZATION IN MULTI-STATE DEPENDANT-INDEPENDENT SYSTEMS by Vahid Ebrahimipour, Ph.D., Seyed Mostafa Alem, and Mohammad Reza Skandari, Tehran University
In this multi-state system, item j has kj different performance level. The performance level of the items of this system may be dependent on those of other items of the system. The dependency between two items in a system can be of one of these four types: 1.Both independent, 2.One independent and the other dependant on it, 3.Both dependent on a common item, 4.Both dependent, but not on a common item. The items within a sub-system may be different using (UGF)to calculate the reliability of system.
7C3 [0142] DESIGN OF ACCELERATED LIFE TESTING USING PROPORTIONAL HAZARDS-PROPORTIONAL ODDS by Tingting Huang, Tongmin Jiang, Beihang University
Accelerated life testing (ALT) needs well planned in order to decrease the inaccuracy of extrapolation. This paper discusses PH-PO model based multiple stress type ALT test planning. Two types of information based optimality criteria are considered, D-optimality and A-optimality. This paper presents a distribution free test planning method based on these two optimality criteria. An example is given to verify the validity of this test planning method.
7C4 [0089] PIECEWISE NHPP MODELS WITH MLE SOLUTIONS FOR REPAIRABLE SYSTEMS by
Huairui Guo, Ph.D., Adamantios Mettas, and Georgios Sarakakis, ReliaSoft Corporation
This paper proposes a piecewise NHPP model for repairable systems that experience design or operation environment changes. When the design configuration or the operation environment changes, the failure behavior of a system will also change. The piecewise NHPP model not only can reflect these changes but also considers the damage accumulated before the changes.
Modeling and Analysis of Aging Systems
Session:Â 7C, Tuesday, 26 January 2010, 1330-1530
Moderator:Â Marcia F. P. Salgado, UFMG
This session contains a collection of papers that explore a variety of modeling and analysis approaches for repairable systems, multi-state systems, and systems that age.
Papers:
7C1 [0045] NONPARAMETRIC LIFE CONSUMPTION MODELING OF HIGH END DRILLING TOOLS
by Dustin Garvey, Martin John, Jorg Baumann, Baker Hughes, and J. Wesley Hines, Ph.D., University of Tennessee
This paper will include a description and demonstration of a data driven life consumption model for data collected from high end drilling tools.
7C2 [0244] RELIABILITY OPTIMIZATION IN MULTI-STATE DEPENDANT-INDEPENDENT SYSTEMS by Vahid Ebrahimipour, Ph.D., Seyed Mostafa Alem, and Mohammad Reza Skandari, Tehran University
In this multi-state system, item j has kj different performance level. The performance level of the items of this system may be dependent on those of other items of the system. The dependency between two items in a system can be of one of these four types: 1.Both independent, 2.One independent and the other dependant on it, 3.Both dependent on a common item, 4.Both dependent, but not on a common item. The items within a sub-system may be different using (UGF)to calculate the reliability of system.
7C3 [0142] DESIGN OF ACCELERATED LIFE TESTING USING PROPORTIONAL HAZARDS-PROPORTIONAL ODDS by Tingting Huang, Tongmin Jiang, Beihang University
Accelerated life testing (ALT) needs well planned in order to decrease the inaccuracy of extrapolation. This paper discusses PH-PO model based multiple stress type ALT test planning. Two types of information based optimality criteria are considered, D-optimality and A-optimality. This paper presents a distribution free test planning method based on these two optimality criteria. An example is given to verify the validity of this test planning method.
7C4 [0089] PIECEWISE NHPP MODELS WITH MLE SOLUTIONS FOR REPAIRABLE SYSTEMS by
Huairui Guo, Ph.D., Adamantios Mettas, and Georgios Sarakakis, ReliaSoft Corporation
This paper proposes a piecewise NHPP model for repairable systems that experience design or operation environment changes. When the design configuration or the operation environment changes, the failure behavior of a system will also change. The piecewise NHPP model not only can reflect these changes but also considers the damage accumulated before the changes.