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
1.–5. rezultāts no 84.
. lappuse
... Function Surface 90.0 % 80.0 % 70.0 % 60.0 % LK- % 50.0 % 40.0 % 30.0 % 20.0 % 10.0 % 0894 1.07089 124938 142787 1.60636 Beta 1.78485 1.96334 2.14183 2.32032 2.49881 185.9257 172.64538 159.36497 146,08456 132.80415 119.52374 106.24333 ...
... Function Surface 90.0 % 80.0 % 70.0 % 60.0 % LK- % 50.0 % 40.0 % 30.0 % 20.0 % 10.0 % 0894 1.07089 124938 142787 1.60636 Beta 1.78485 1.96334 2.14183 2.32032 2.49881 185.9257 172.64538 159.36497 146,08456 132.80415 119.52374 106.24333 ...
viii. lappuse
... Functions 2.1.2 Population Moments 2.1.3 Worked - Out Examples 64 64 68 71 2.2 Empirical Estimates of F ( t ) and Other Reliability Metrics : Use of Order Statistics 2.2.1 Naive Rank ... Function 3.5.2 Weibull Survival viii CONTENTS.
... Functions 2.1.2 Population Moments 2.1.3 Worked - Out Examples 64 64 68 71 2.2 Empirical Estimates of F ( t ) and Other Reliability Metrics : Use of Order Statistics 2.2.1 Naive Rank ... Function 3.5.2 Weibull Survival viii CONTENTS.
ix. lappuse
Gary Wasserman. 3.5.1 Weibull Power - Law Hazard Function 3.5.2 Weibull Survival Function 3.5.3 Properties of the Weibull Distribution 3.5.4 Three - Parameter Weibull 117 118 118 119 3.6 Extreme Value ( Gumbel ) Distribution 3.7 Other ...
Gary Wasserman. 3.5.1 Weibull Power - Law Hazard Function 3.5.2 Weibull Survival Function 3.5.3 Properties of the Weibull Distribution 3.5.4 Three - Parameter Weibull 117 118 118 119 3.6 Extreme Value ( Gumbel ) Distribution 3.7 Other ...
2. lappuse
... function deployment for ensuring that customer requirements drive the design for reliability process are outlined . In §1.2 we outline basic approaches for modeling reliability followed by an overview on the use of R ( reliability ) by ...
... function deployment for ensuring that customer requirements drive the design for reliability process are outlined . In §1.2 we outline basic approaches for modeling reliability followed by an overview on the use of R ( reliability ) by ...
3. lappuse
... function " in order to avoid any usage of words such as " failure " or " defect , " which the public could misinterpret . Intended Function The intended function ( s ) of a product must be identified early in the design process to ...
... function " in order to avoid any usage of words such as " failure " or " defect , " which the public could misinterpret . Intended Function The intended function ( s ) of a product must be identified early in the design process to ...
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 |
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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