-
6
-
-
58749106055
-
Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment
-
K. Durga Raoa, V. Gopikaa, V.V.S. Sanyasi Raoa, H.S. Kushwahaa, A.K. Vermab, and A. Srividya Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment Reliability Engineering and System Safety 94 2009 872 883
-
(2009)
Reliability Engineering and System Safety
, Issue.94
, pp. 872-883
-
-
Durga Raoa, K.1
Gopikaa, V.2
Sanyasi Raoa, V.V.S.3
Kushwahaa, H.S.4
Vermab, A.K.5
Srividya, A.6
-
7
-
-
0033221507
-
Application of micro Markov models for quantitative safety assessment to determine safety integrity levels as defined by the IEC 61508 standard for functional safety
-
B. Knegteringa, and A.C. Brombacher Application of micro Markov models for quantitative safety assessment to determine safety integrity levels as defined by the IEC 61508 standard for functional safety Reliability Engineering and System Safety 66 1999 171 175
-
(1999)
Reliability Engineering and System Safety
, vol.66
, pp. 171-175
-
-
Knegteringa, B.1
Brombacher, A.C.2
-
9
-
-
33748761173
-
Plant-specific dynamic failure assessment using Bayesian theory
-
A. Meel, and W.D. Seider Plant-specific dynamic failure assessment using Bayesian theory Chemical Engineering Science 61 2006 7036 7056
-
(2006)
Chemical Engineering Science
, vol.61
, pp. 7036-7056
-
-
Meel, A.1
Seider, W.D.2
-
11
-
-
79955735775
-
Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches
-
Nima Khakzada, Faisal Khana, and Paul Amyotte Safety analysis in process facilities: comparison of fault tree and Bayesian network approaches Reliability Engineering and System Safety 96 2011 925 932
-
(2011)
Reliability Engineering and System Safety
, vol.96
, pp. 925-932
-
-
Khakzada, N.1
Khana, F.2
Amyotte, P.3
-
12
-
-
37049029640
-
In safety analysis of process industry system based on complex networks theory
-
Harbin, China: IEEE
-
Jiang, H, Gao, J, Gao, Z, Li, G. In safety analysis of process industry system based on complex networks theory. In: Proceedings of the international conference on mechatronics and automation, Harbin, China: IEEE; 2007., p. 480.
-
(2007)
Proceedings of the International Conference on Mechatronics and Automation
, pp. 480
-
-
Jiang, H.1
Gao, J.2
Gao, Z.3
Li, G.4
-
13
-
-
51549114765
-
Real-time data-based risk assessment for hazard installations storing flammable gas
-
J. Zhou, G. Chen, and Q. Chen Real-time data-based risk assessment for hazard installations storing flammable gas Process Safety Progress 27 2008 205 211
-
(2008)
Process Safety Progress
, vol.27
, pp. 205-211
-
-
Zhou, J.1
Chen, G.2
Chen, Q.3
-
15
-
-
73349108402
-
Online probabilistic assessment of operating performance based on safety and optimality indices for multimode industrial processes
-
Lubin Ye Online probabilistic assessment of operating performance based on safety and optimality indices for multimode industrial processes Industry and Engineering Chemistry Research 48 24 2009 10912 10923
-
(2009)
Industry and Engineering Chemistry Research
, vol.48
, Issue.24
, pp. 10912-10923
-
-
Ye, L.1
-
16
-
-
79957508307
-
Bayesian methods for control loop diagnosis in the presence of temporal dependent evidences
-
F.e.i. Qi, and B.i.a.o. Huang Bayesian methods for control loop diagnosis in the presence of temporal dependent evidences Automatica 47 2011 1349 1356
-
(2011)
Automatica
, vol.47
, pp. 1349-1356
-
-
Qi, F.E.I.1
Huang, B.I.A.O.2
-
17
-
-
2342521341
-
Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis
-
S.W. Choi, J.H. Park, and I. Lee Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis Computers and Chemical Engineering 28 2004 1377 1387
-
(2004)
Computers and Chemical Engineering
, vol.28
, pp. 1377-1387
-
-
Choi, S.W.1
Park, J.H.2
Lee, I.3
-
19
-
-
33646093001
-
Feature representation and discrimination based on Gaussian mixture model probability densities practices and algorithms
-
P. Paalanen, J.K. Kamarainen, J. Ilonen, and H. Kalviainen Feature representation and discrimination based on Gaussian mixture model probability densities practices and algorithms Pattern Recognition 39 2006 1346
-
(2006)
Pattern Recognition
, vol.39
, pp. 1346
-
-
Paalanen, P.1
Kamarainen, J.K.2
Ilonen, J.3
Kalviainen, H.4
-
20
-
-
47549099484
-
Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models
-
J. Yu, and S.J. Qin Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models AIChE Journal 54 2008 1811
-
(2008)
AIChE Journal
, vol.54
, pp. 1811
-
-
Yu, J.1
Qin, S.J.2
-
21
-
-
0036650135
-
Using Bayesian network for fault location on distribution feeder
-
C.F. Chien, S.L. Chen, and Y.S. Lin Using Bayesian network for fault location on distribution feeder IEEE Transactions on Power Delivery 17 13 2002 785 793
-
(2002)
IEEE Transactions on Power Delivery
, vol.17
, Issue.13
, pp. 785-793
-
-
Chien, C.F.1
Chen, S.L.2
Lin, Y.S.3
-
22
-
-
7044247417
-
A Bayesian network approach to root cause diagnosis of process variations
-
S. Dey, and J.A. Stori A Bayesian network approach to root cause diagnosis of process variations International Journal of Machine Tools 45 1 2005 75 91
-
(2005)
International Journal of Machine Tools
, vol.45
, Issue.1
, pp. 75-91
-
-
Dey, S.1
Stori, J.A.2
-
24
-
-
4444290590
-
Probabilistic fault localization in communication systems using belief networks
-
M. Steinder, and A.S. Sethi Probabilistic fault localization in communication systems using belief networks IEEE/ACM Transactions on Networking 12 5 2004 809 822
-
(2004)
IEEE/ACM Transactions on Networking
, vol.12
, Issue.5
, pp. 809-822
-
-
Steinder, M.1
Sethi, A.S.2
-
27
-
-
84879361405
-
-
NASA Ames, Moffett Field, CA
-
Abhinav Saxena, Kai Goebel. "C-MAPSS Data Set", NASA Ames Prognostics Data Repository, [http://ti.arc.nasa.gov/project/prognostic-data- repository]. NASA Ames, Moffett Field, CA, 2008.
-
(2008)
C-MAPSS Data Set", NASA Ames Prognostics Data Repository, [ ]
-
-
Saxena, A.1
Goebel, K.2
|