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 38.
v. lappuse
... differences between life data sets and for estimating accel- eration factors . The coverage of theory is intentionally varied . For example , in Chapter 3 , I introduce basic foundations of distributional modeling , including the use of ...
... differences between life data sets and for estimating accel- eration factors . The coverage of theory is intentionally varied . For example , in Chapter 3 , I introduce basic foundations of distributional modeling , including the use of ...
x. lappuse
... Differences Between Empirical Rank and Fitted Distributions 190 5.2.2 Rank Regression Tests 195 5.2.3 Other Goodness - of - Fit Tests 5.3 Exercises Appendix 5A . 6. Test Sample - Size Determination Validation / Verification Testing 6.1 ...
... Differences Between Empirical Rank and Fitted Distributions 190 5.2.2 Rank Regression Tests 195 5.2.3 Other Goodness - of - Fit Tests 5.3 Exercises Appendix 5A . 6. Test Sample - Size Determination Validation / Verification Testing 6.1 ...
xii. lappuse
... Differences 10.4 Approximate F - Test for Differences - Weibull and Exponential Distribution 356 359 360 362 367 368 369 371 10.4.1 Test for Differences in the Exponential MTTF Parameter , xii CONTENTS.
... Differences 10.4 Approximate F - Test for Differences - Weibull and Exponential Distribution 356 359 360 362 367 368 369 371 10.4.1 Test for Differences in the Exponential MTTF Parameter , xii CONTENTS.
xiii. lappuse
Gary Wasserman. 10.4.1 Test for Differences in the Exponential MTTF Parameter , 372 10.4.2 Approximate Test for Differences with Weibull Shape Parameter 373 10.4.3 Use of Approximate F - Tests 376 10.5 Summary 376 10.6 Exercises 377 ...
Gary Wasserman. 10.4.1 Test for Differences in the Exponential MTTF Parameter , 372 10.4.2 Approximate Test for Differences with Weibull Shape Parameter 373 10.4.3 Use of Approximate F - Tests 376 10.5 Summary 376 10.6 Exercises 377 ...
2. lappuse
... Differences in the supplied materials and components 2. Differences in how the product is processed and assembled 3. Differences in how the customer uses the product 4. Differences in exposure to stresses that affect performance ( 2 CHAPTER ...
... Differences in the supplied materials and components 2. Differences in how the product is processed and assembled 3. Differences in how the customer uses the product 4. Differences in exposure to stresses that affect performance ( 2 CHAPTER ...
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