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 76.
iv. lappuse
... chapter . The former product was chosen for its obvious , ubiquitous nature . The latter was chosen because it has become a very popular choice in the classroom and among Fortune 500 companies who wish to quickly and easily analyze ...
... chapter . The former product was chosen for its obvious , ubiquitous nature . The latter was chosen because it has become a very popular choice in the classroom and among Fortune 500 companies who wish to quickly and easily analyze ...
v. lappuse
... Chapter 6 presents formulas for extended bogey testing , which are usually presented in a more theoretical context . It also discusses the use of tail testing techniques and fully describes the use of a Bayesian adjustment , which ...
... Chapter 6 presents formulas for extended bogey testing , which are usually presented in a more theoretical context . It also discusses the use of tail testing techniques and fully describes the use of a Bayesian adjustment , which ...
vi. lappuse
Gary Wasserman. poned until Chapter 9. Everyone should find something to gain from this book , and our less experienced readers will hopefully find expanded uses for this text as they continue to progress . Finally , I wish to thank the ...
Gary Wasserman. poned until Chapter 9. Everyone should find something to gain from this book , and our less experienced readers will hopefully find expanded uses for this text as they continue to progress . Finally , I wish to thank the ...
2. lappuse
... chapter ( §1.1 ) with a modern definition of this term , including an overview of what it means for a product to fail in the field . In particular , we point out the importance of ( a ) understanding the customer's perspective on ...
... chapter ( §1.1 ) with a modern definition of this term , including an overview of what it means for a product to fail in the field . In particular , we point out the importance of ( a ) understanding the customer's perspective on ...
4. lappuse
... engineer to have accurate information on product usage . This may lead to an over- or underdesigned product . The use of robust product design methods is useful in this regard to ensure the design of a product whose performance 4 CHAPTER I.
... engineer to have accurate information on product usage . This may lead to an over- or underdesigned product . The use of robust product design methods is useful in this regard to ensure the design of a product whose performance 4 CHAPTER I.
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