Reliability Verification, Testing, and Analysis in Engineering DesignStriking 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 5.
6. lappuse
Loss of Product Function The definition of a failure is obvious when there is a
total loss of product function . If something breaks during product usage , and this
was not intended , then we all agree that it has failed . * However , this will not be
...
Loss of Product Function The definition of a failure is obvious when there is a
total loss of product function . If something breaks during product usage , and this
was not intended , then we all agree that it has failed . * However , this will not be
...
8. lappuse
Losses in strength , elasticity , and color are just some of the important
characteristics that may decline over time . For instance , weather seals ... In
Table 1-1 failure events are classified according to their extent of loss of intended
function .
Losses in strength , elasticity , and color are just some of the important
characteristics that may decline over time . For instance , weather seals ... In
Table 1-1 failure events are classified according to their extent of loss of intended
function .
11. lappuse
SEVERITY Safety , Dependability failures Example : Engine Oil Leak | Example :
Airbag switch fails Loss of function , minor subsystem Partial Loss of Function (
degradation or intermittent ) DEGREE OF LOSS OF PRODUCT FUNCTION ...
SEVERITY Safety , Dependability failures Example : Engine Oil Leak | Example :
Airbag switch fails Loss of function , minor subsystem Partial Loss of Function (
degradation or intermittent ) DEGREE OF LOSS OF PRODUCT FUNCTION ...
14. lappuse
A loss function , L , advocated by G. Taguchi ( see Phadke , 1989 ) , can be used
to model quality loss as L ( X ) = g ( x T ) . A common form of this loss function is
the well - known quadratic loss function given by L ( X ) = K * ( X T ) ?, where ...
A loss function , L , advocated by G. Taguchi ( see Phadke , 1989 ) , can be used
to model quality loss as L ( X ) = g ( x T ) . A common form of this loss function is
the well - known quadratic loss function given by L ( X ) = K * ( X T ) ?, where ...
55. lappuse
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Saturs
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XCI | 206 |
XCII | 207 |
XCIII | 208 |
XCV | 210 |
XCVII | 211 |
XCVIII | 213 |
XCIX | 214 |
XI | 23 |
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XIV | 25 |
XV | 29 |
XVI | 30 |
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XIX | 35 |
XX | 36 |
XXI | 40 |
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XXIV | 68 |
XXV | 71 |
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XXIX | 79 |
XXX | 81 |
XXXI | 83 |
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XXXVI | 90 |
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XXXIX | 101 |
XLI | 104 |
XLIII | 105 |
XLIV | 110 |
XLV | 114 |
XLVI | 117 |
XLVIII | 118 |
XLIX | 119 |
L | 121 |
LI | 125 |
LII | 126 |
LV | 127 |
LVI | 129 |
LVII | 131 |
LVIII | 133 |
LIX | 135 |
LXII | 137 |
LXIV | 142 |
LXV | 147 |
LXVI | 148 |
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LXIX | 157 |
LXX | 159 |
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LXXX | 186 |
LXXXI | 189 |
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C | 216 |
CII | 217 |
CIII | 221 |
CIV | 222 |
CV | 224 |
CVII | 225 |
CIX | 226 |
CX | 229 |
CXI | 231 |
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CXXX | 274 |
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CXXXIII | 280 |
CXXXIV | 282 |
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CXXXVIII | 289 |
CXL | 290 |
CXLII | 291 |
CXLIII | 292 |
CXLIV | 300 |
CXLVI | 305 |
CXLVIII | 307 |
CXLIX | 309 |
CLI | 311 |
CLII | 312 |
CLIII | 314 |
CLIV | 316 |
CLV | 319 |
CLVI | 320 |
CLVII | 322 |
CLVIII | 325 |
CLIX | 329 |
CLX | 351 |
CLXI | 352 |
CLXII | 356 |
CLXIII | 359 |
CLXV | 360 |
CLXVI | 362 |
CLXVII | 367 |
CLXVIII | 368 |
CLXIX | 369 |
CLXX | 371 |
CLXXI | 372 |
CLXXII | 373 |
CLXXIII | 376 |
CLXXV | 377 |
CLXXVI | 379 |
CLXXVII | 387 |
Citi izdevumi - Skatīt visu
Reliability Verification, Testing, and Analysis in Engineering Design Gary Wasserman Priekšskatījums nav pieejams - 2002 |
Bieži izmantoti vārdi un frāzes
accelerated adjusted allows analysis Appendix Applications approach approximation assume binomial cause censored changes Chapter complete component confidence intervals confidence limit constructed contour cycles data set described differences discussed distribution effects Engineering Equation error evaluated example Excel exponential expression factor failure mode Figure FMEA formula function given hazard identify illustrated inverse lead likelihood lognormal loss lower manufacturing material maximum mean Mechanical median methods metrics Minitab ML estimates normal normal distribution Note observations obtained occur parameter percentile performance planning plot potential presented probability procedure properties random rank rank regression refer relationship reliability requirements sample scale shape shown simulation solution specification standard statistics stress Table temperature Tools units usage values variable variance verification Weibull Weibull distribution
Bibliogrāfiskā informācija
| Nosaukums | Reliability Verification, Testing, and Analysis in Engineering Design Grāmatas Mechanical engineering 153. sējums. sējums |
| Autors | Gary Wasserman |
| Izdevējs | CRC Press, 2002 |
| ISBN | 0203910443, 9780203910443 |
| Apjoms | 416 lappuses |
| Eksportēt avotu | BiBTeX EndNote RefMan |