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Volumn 18, Issue 1, 2015, Pages 59-69

Determination of minimum sample size for fault diagnosis of automobile hydraulic brake system using power analysis

Author keywords

Fault diagnosis; Machine learning; Minimum sample size; Power analysis; Statistical features; Vibration signals

Indexed keywords


EID: 85017399025     PISSN: None     EISSN: 22150986     Source Type: Journal    
DOI: 10.1016/j.jestch.2014.09.007     Document Type: Article
Times cited : (22)

References (26)
  • 1
    • 0036738906 scopus 로고    scopus 로고
    • Determination of sample size and discriminatory expression patterns in microarray data
    • [1] Hwang, Daehee, Schmitt, William A., Stephanopoulos, George, Stephanopoulos, Gregory, Determination of sample size and discriminatory expression patterns in microarray data. Bioinformatics 18 (2002), 1184–1193.
    • (2002) Bioinformatics , vol.18 , pp. 1184-1193
    • Hwang, D.1    Schmitt, W.A.2    Stephanopoulos, G.3    Stephanopoulos, G.4
  • 2
    • 0028806048 scopus 로고
    • Quantitative monitoring of gene-expression patterns with a complementary-DNA microarray
    • [2] Schena, M., Shalon, D., Davis, R.W., Brown, P.O., Quantitative monitoring of gene-expression patterns with a complementary-DNA microarray. Science 270 (1995), 467–470.
    • (1995) Science , vol.270 , pp. 467-470
    • Schena, M.1    Shalon, D.2    Davis, R.W.3    Brown, P.O.4
  • 3
    • 10544256600 scopus 로고    scopus 로고
    • Expression monitoring by hybridization to high density oligonucleotide arrays
    • [3] Lockhart, D.J., et al. Expression monitoring by hybridization to high density oligonucleotide arrays. Nat. Biotechnol. 14 (1996), 1675–1680.
    • (1996) Nat. Biotechnol. , vol.14 , pp. 1675-1680
    • Lockhart, D.J.1
  • 6
    • 0026089326 scopus 로고
    • Sample size estimation for comparing two or more treatment groups in clinical trials
    • [6] Day, S.J., Graham, D.F., Sample size estimation for comparing two or more treatment groups in clinical trials. Stat. Med. 10 (1991), 33–43.
    • (1991) Stat. Med. , vol.10 , pp. 33-43
    • Day, S.J.1    Graham, D.F.2
  • 7
    • 0017948946 scopus 로고
    • Graphical aid for determining sample size when comparing two independent proportions
    • [7] Feigl, P.A., Graphical aid for determining sample size when comparing two independent proportions. Biometrics 34 (1978), 111–122.
    • (1978) Biometrics , vol.34 , pp. 111-122
    • Feigl, P.A.1
  • 8
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (ROC) curve
    • [8] Hanley, J.A., McNeil, B.J., The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143 (1982), 29–36.
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 9
    • 0033856927 scopus 로고    scopus 로고
    • Computing sample size for receiver operating characteristic studies
    • [9] Obuchowski, N.A., Computing sample size for receiver operating characteristic studies. Am. J. Roentgenol. 175 (2000), 603–608.
    • (2000) Am. J. Roentgenol. , vol.175 , pp. 603-608
    • Obuchowski, N.A.1
  • 10
    • 0027523267 scopus 로고
    • Sample size and power determination for a binary outcome and an ordinal exposure when logistic regression analysis is planned
    • [10] Bull, S.B., Sample size and power determination for a binary outcome and an ordinal exposure when logistic regression analysis is planned. Am. J. Epidemiol. 137 (1993), 676–684.
    • (1993) Am. J. Epidemiol. , vol.137 , pp. 676-684
    • Bull, S.B.1
  • 11
    • 0023923913 scopus 로고
    • On sample-size and power calculations for studies using confidence intervals
    • [11] Greenland, S., On sample-size and power calculations for studies using confidence intervals. Am. J. Epidemiol. 128 (1988), 231–237.
    • (1988) Am. J. Epidemiol. , vol.128 , pp. 231-237
    • Greenland, S.1
  • 12
    • 0024444162 scopus 로고
    • Sample size determination for confidence intervals on the population mean and on the difference between two population means
    • [12] Beal, S.L., Sample size determination for confidence intervals on the population mean and on the difference between two population means. Biometrics 45 (1989), 969–977.
    • (1989) Biometrics , vol.45 , pp. 969-977
    • Beal, S.L.1
  • 13
    • 0026794310 scopus 로고
    • A goodness-of-fit approach to inference procedures for the kappa statistic: confidence interval construction, significance-testing and sample size estimation
    • [13] Donner, A., Eliasziw, M., A goodness-of-fit approach to inference procedures for the kappa statistic: confidence interval construction, significance-testing and sample size estimation. Stat. Med. 11 (1992), 1511–1519.
    • (1992) Stat. Med. , vol.11 , pp. 1511-1519
    • Donner, A.1    Eliasziw, M.2
  • 14
    • 0028595559 scopus 로고
    • Internal pilot studies for estimating sample size
    • [14] Birkett, M.A., Day, S.J., Internal pilot studies for estimating sample size. Stat. Med. 13 (1994), 2455–2463.
    • (1994) Stat. Med. , vol.13 , pp. 2455-2463
    • Birkett, M.A.1    Day, S.J.2
  • 15
    • 34547145165 scopus 로고    scopus 로고
    • G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences
    • [15] Faul, Franz, Erdfelder, Edgar, Lang, Albert-Georg, Buchner, Axel, G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 39:2 (2007), 175–191.
    • (2007) Behav. Res. Methods , vol.39 , Issue.2 , pp. 175-191
    • Faul, F.1    Erdfelder, E.2    Lang, A.-G.3    Buchner, A.4
  • 16
    • 0029162725 scopus 로고
    • On the use of a pilot sample for sample size determination
    • [16] Browne, R.H., On the use of a pilot sample for sample size determination. Stat. Med. 14 (1995), 1933–1940.
    • (1995) Stat. Med. , vol.14 , pp. 1933-1940
    • Browne, R.H.1
  • 17
    • 0023186839 scopus 로고
    • Interim analyses in randomized clinical trials: ramifications and guidelines for practitioners
    • [17] Geller, N.L., Pocock, S.J., Interim analyses in randomized clinical trials: ramifications and guidelines for practitioners. Biometrics 43 (1987), 213–223.
    • (1987) Biometrics , vol.43 , pp. 213-223
    • Geller, N.L.1    Pocock, S.J.2
  • 18
    • 0027446330 scopus 로고
    • Sample size: profound implications of mundane calculations
    • [18] Lantos, J.D., Sample size: profound implications of mundane calculations. Pediatrics 91 (1993), 155–157.
    • (1993) Pediatrics , vol.91 , pp. 155-157
    • Lantos, J.D.1
  • 19
    • 38649135047 scopus 로고    scopus 로고
    • Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine
    • [19] Sugumaran, V., Sabareesh, G.R., Ramachandran, K.I., Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine. Expert Syst. Appl. 34 (2008), 3090–3098.
    • (2008) Expert Syst. Appl. , vol.34 , pp. 3090-3098
    • Sugumaran, V.1    Sabareesh, G.R.2    Ramachandran, K.I.3
  • 20
    • 0027643095 scopus 로고
    • Using fuzzy clustering with ellipsoidal units in neural networks for robust fault classification
    • [20] Kavuri, S.N., Venkatasubramanian, V., Using fuzzy clustering with ellipsoidal units in neural networks for robust fault classification. Comput. Chem. Eng. 17:8 (1993), 765–784.
    • (1993) Comput. Chem. Eng. , vol.17 , Issue.8 , pp. 765-784
    • Kavuri, S.N.1    Venkatasubramanian, V.2
  • 21
    • 38249015646 scopus 로고
    • Representing and diagnosing dynamic process data using neural networks
    • [21] Vaidyanathan, R., Venkatasubramanian, V., Representing and diagnosing dynamic process data using neural networks. Eng. Appl. Artif. Intell. 5:1 (1992), 11–21.
    • (1992) Eng. Appl. Artif. Intell. , vol.5 , Issue.1 , pp. 11-21
    • Vaidyanathan, R.1    Venkatasubramanian, V.2
  • 22
    • 0343240948 scopus 로고
    • Early detection of gear failure by vibration analysis—I. Calculation of the time–frequency distribution
    • [22] Wang, W.J., McFadden, P.D., Early detection of gear failure by vibration analysis—I. Calculation of the time–frequency distribution. Mech. Syst. Signal Process. 7:3 (1993), 193–203.
    • (1993) Mech. Syst. Signal Process. , vol.7 , Issue.3 , pp. 193-203
    • Wang, W.J.1    McFadden, P.D.2
  • 23
    • 34047251878 scopus 로고    scopus 로고
    • Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearing
    • [23] Sugumaran, V., Ramachandran, K.I., Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearing. Mech. Syst. Signal Process. 211 (2007), 2237–2247.
    • (2007) Mech. Syst. Signal Process. , vol.211 , pp. 2237-2247
    • Sugumaran, V.1    Ramachandran, K.I.2
  • 24
    • 84881177306 scopus 로고    scopus 로고
    • Comparative study of decision tree classifier and best first tree classifier for fault diagnosis of automobile hydraulic brake system using statistical feature
    • [24] Jegadeeshwaran, R., Sugumaran, V., Comparative study of decision tree classifier and best first tree classifier for fault diagnosis of automobile hydraulic brake system using statistical feature. Measurement 46:9 (2013), 3247–3260.
    • (2013) Measurement , vol.46 , Issue.9 , pp. 3247-3260
    • Jegadeeshwaran, R.1    Sugumaran, V.2
  • 25
    • 0000600410 scopus 로고
    • Decision trees and multi-valued attributes
    • [25] Quinlan, J.R., Decision trees and multi-valued attributes. Machine Intell. 11 (1985), 81–106.
    • (1985) Machine Intell. , vol.11 , pp. 81-106
    • Quinlan, J.R.1
  • 26
    • 85017402940 scopus 로고
    • Statistical Power Analysis for the Behavioral Sciences
    • second ed. Erlbaum Hillsdale, NJ
    • [26] Cohen, J., Statistical Power Analysis for the Behavioral Sciences. second ed., 1988, Erlbaum, Hillsdale, NJ.
    • (1988)
    • Cohen, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.