Reliability Verification, Testing, and Analysis in Engineering DesignCRC Press, 2002. gada 27. nov. - 416 lappuses Striking a balance between the use of computer-aided engineering practices and classical life testing, this reference expounds on current theory and methods for designing reliability tests and analyzing resultant data through various examples using Microsoft® Excel, MINITAB, WinSMITH, and ReliaSoft software across multiple industries. The book disc |
No grāmatas satura
iv. lappuse
... maximum likelihood estimation techniques for developing asymptotic properties is clearly explained . MINITAB TM is used to develop Monte Carlo interval ... confidence limits for success - failure testing is presented to the user in the ...
... maximum likelihood estimation techniques for developing asymptotic properties is clearly explained . MINITAB TM is used to develop Monte Carlo interval ... confidence limits for success - failure testing is presented to the user in the ...
ix. lappuse
... Distribution 3.5.4 Three - Parameter Weibull 117 118 118 119 3.6 Extreme Value ( Gumbel ) Distribution 3.7 Other ... Confidence Intervals 4.3.3 Maximum Likelihood Estimation of Normal 148 Parameters , μ and σ , for Complete Sample ...
... Distribution 3.5.4 Three - Parameter Weibull 117 118 118 119 3.6 Extreme Value ( Gumbel ) Distribution 3.7 Other ... Confidence Intervals 4.3.3 Maximum Likelihood Estimation of Normal 148 Parameters , μ and σ , for Complete Sample ...
x. lappuse
... Confidence Limits in Success - Failure Testing 213 6.3.3 Large - Sample Confidence Limit Approximation on Reliability 214 6.3.4 Bayesian Adjustment to Success - Failure Testing Formula 216 6.3.5 Correctness of Binomial Success - Testing ...
... Confidence Limits in Success - Failure Testing 213 6.3.3 Large - Sample Confidence Limit Approximation on Reliability 214 6.3.4 Bayesian Adjustment to Success - Failure Testing Formula 216 6.3.5 Correctness of Binomial Success - Testing ...
xii. lappuse
... Maximum Likelihood ( ML ) Point Estimation 9.1.1 Maximum Likelihood Estimation of Exponential Hazard Parameter , λ 307 ... Confidence Interval Estimation 9.2.1 Exponential Confidence Intervals 322 322 9.2.2 Asymptotic ( Large - Sample ) ...
... Maximum Likelihood ( ML ) Point Estimation 9.1.1 Maximum Likelihood Estimation of Exponential Hazard Parameter , λ 307 ... Confidence Interval Estimation 9.2.1 Exponential Confidence Intervals 322 322 9.2.2 Asymptotic ( Large - Sample ) ...
21. lappuse
Gary Wasserman. Stating Specifications To be truly meaningful , reliability and confidence levels must be considered ... limit on reliability , R ( 3650 ) , as follows : PR ( 3650 ) ≥ 0.95 > 0.90 lower ( 1.7 ) confidence limit on R ...
Gary Wasserman. Stating Specifications To be truly meaningful , reliability and confidence levels must be considered ... limit on reliability , R ( 3650 ) , as follows : PR ( 3650 ) ≥ 0.95 > 0.90 lower ( 1.7 ) confidence limit on R ...
Saturs
LXXXVII | 204 |
LXXXVIII | 206 |
XC | 207 |
XCII | 208 |
XCIV | 210 |
XCVI | 211 |
XCVII | 213 |
XCVIII | 214 |
XI | 23 |
XII | 24 |
XIII | 25 |
XIV | 29 |
XV | 30 |
XVI | 32 |
XVIII | 35 |
XIX | 36 |
XX | 40 |
XXI | 63 |
XXII | 64 |
XXIV | 68 |
XXV | 71 |
XXVI | 74 |
XXVII | 75 |
XXVIII | 77 |
XXIX | 79 |
XXX | 81 |
XXXI | 83 |
XXXII | 84 |
XXXIII | 86 |
XXXIV | 88 |
XXXVI | 90 |
XXXVII | 92 |
XXXVIII | 95 |
XXXIX | 101 |
XLI | 104 |
XLIII | 105 |
XLIV | 110 |
XLV | 114 |
XLVI | 117 |
XLVIII | 118 |
L | 119 |
LI | 121 |
LII | 125 |
LIII | 126 |
LVI | 127 |
LVII | 129 |
LVIII | 131 |
LIX | 133 |
LX | 135 |
LXI | 137 |
LXIII | 142 |
LXIV | 147 |
LXV | 148 |
LXVI | 151 |
LXVII | 155 |
LXVIII | 157 |
LXIX | 159 |
LXX | 161 |
LXXI | 162 |
LXXII | 163 |
LXXIII | 164 |
LXXIV | 166 |
LXXV | 168 |
LXXVI | 173 |
LXXVII | 177 |
LXXVIII | 180 |
LXXIX | 186 |
LXXX | 189 |
LXXXI | 190 |
LXXXII | 195 |
LXXXIII | 196 |
LXXXIV | 199 |
LXXXV | 201 |
LXXXVI | 203 |
XCIX | 216 |
CI | 217 |
CII | 221 |
CIII | 222 |
CIV | 224 |
CVI | 225 |
CVIII | 226 |
CIX | 229 |
CX | 231 |
CXI | 233 |
CXII | 234 |
CXIII | 238 |
CXIV | 239 |
CXV | 240 |
CXVI | 241 |
CXVII | 246 |
CXVIII | 250 |
CXIX | 253 |
CXX | 254 |
CXXI | 255 |
CXXII | 257 |
CXXIII | 259 |
CXXIV | 260 |
CXXV | 265 |
CXXVII | 271 |
CXXVIII | 274 |
CXXX | 277 |
CXXXI | 280 |
CXXXII | 282 |
CXXXIV | 284 |
CXXXV | 287 |
CXXXVI | 289 |
CXXXVII | 290 |
CXXXVIII | 291 |
CXXXIX | 292 |
CXLI | 300 |
CXLIII | 305 |
CXLV | 307 |
CXLVI | 309 |
CXLVIII | 311 |
CXLIX | 312 |
CL | 314 |
CLI | 316 |
CLII | 319 |
CLIII | 320 |
CLIV | 322 |
CLVI | 325 |
CLVII | 329 |
CLVIII | 351 |
CLIX | 352 |
CLXI | 356 |
CLXIII | 359 |
CLXV | 360 |
CLXVI | 362 |
CLXVII | 367 |
CLXVIII | 368 |
CLXIX | 369 |
CLXX | 371 |
CLXXII | 372 |
CLXXIII | 373 |
CLXXIV | 376 |
CLXXVI | 377 |
CLXXVII | 379 |
CLXXVIII | 387 |
Citi izdevumi - Skatīt visu
Reliability Verification, Testing, and Analysis in Engineering Design Gary Wasserman Ierobežota priekšskatīšana - 2002 |
Reliability Verification, Testing, and Analysis in Engineering Design Gary Wasserman Priekšskatījums nav pieejams - 2002 |
Bieži izmantoti vārdi un frāzes
accelerated analysis Appendix approximation asymptotic beta distribution binomial distribution bogey testing Chapter component computer-aided engineering confidence intervals confidence limit cumulative cycles density function design verification electronics Equation evaluated exponential distribution expression F-distribution failure distribution failure mode Figure FMEA Goal Seek hazard identify illustrated inverse likelihood contours likelihood estimation linear location-scale distribution lognormal distribution lower confidence limit LR limits maximum likelihood median rank Microsoft Excel Minitab ML estimates Monte Carlo MTTF normal distribution occur parameter estimates percentile phenomena potential failure modes probability plots procedure properties Q-Q plots random variable rank estimator rank regression recorded failures relationship reliability metrics right-censored sample sizes shape parameter simulation standard normal stress subsystem success-failure test t₁ Table temperature usage values variance wearout Weibayes Weibull data Weibull distribution Weibull parameters Weibull plot Worked-out Example