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and (3) an extrapolation procedure. More detail is available in Collins [29.3].

There s also an error callback method you should choose to implement to handle the case when you do not get a token, which is especially useful during debugging:

29.1.6 Up-Down Method The up-down method of testing is a common scheme for reducing R. R. Moore data to an estimate of the endurance limit. It is adaptable to seeking endurance strength at any arbitrary number of cycles. Figure 29.1 shows the data from 54 specimens

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FIGURE 29.1 An up-down fatigue test conducted on 54 specimens. (From Ransom [29.5], with permission.)

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gathered for determining the endurance strength at 107 cycles. The step size was 0.5 kpsi. The first specimen at a stress level of 46.5 kpsi failed before reaching 107 cycles, and so the next lower stress level of 46.0 kpsi was used on the subsequent specimen. It also failed before 107 cycles. The third specimen, at 45.5 kpsi, survived 107 cycles, and so the stress level was increased. The data-reduction procedure eliminates specimens until the first runout-fail pair is encountered. We eliminate the first specimen and add as an observation the next (no. 55) specimen, = 46.5 kpsi. The second step is to identify the least frequent event failures or runouts. Since there are 27 failures and 27 runouts, we arbitrarily choose failures and tabulate Ni, iNi, and i2Ni as shown in Table 29.1. We define A = iNi and B = i2Ni. The estimate of the mean of the 107cycle strength is = S0 + d 1 A Ni 2 (29.4)

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where S0 = the lowest stress level on which the less frequent event occurs, d = the stress-level increment or step, and Ni = the number of less frequent events at stress level i. Use +1 2 if the less frequent event is runout and 1 2 if it is failure. The estimate of the mean 107-cycle strength is

- (void)application:(UIApplication *)app didFailToRegisterForRemoteNotificationsWithError:(NSError *)err { NSLog(@"Failed to register, error: %@", err); }

See Refs. [29.4] and [29.5].

Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.

B Ni A2 + 0.029 ( Ni)2

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(29.5)

So, after implementing these three methods, you re now set up to handle the case that your application is called as the result of the user selecting the View button in a text alert or unlocking their phone immediately after receiving a text alert. But what about when your application receives a notification while it is already running To handle this case, you also need to implement the following method in the AppDelegate:

as long as (B Ni A2)/( Ni)2 0.3. Substituting test data into Eq. (29.5) gives = 1.620(0.5) 342(27) 822 + 0.029 = 2.93 kpsi 272

The result of the up-down test can be expressed as (Sf )107( , ) or (Sf )107(46.27, 2.93). Consult Refs. [29.3] and [29.4] for modification of the usual t-statistic method of placing a confidence interval on and Ref. [29.4] for placing a confidence interval on . A point estimate of the coefficient of variation is / = 2.93/46.27, or 0.063. Coefficients of variation larger than 0.1 have been observed in steels. One must examine the sources of tables that display a single value for an endurance strength to discover whether the mean or the smallest value in a sample is being reported. This can also reveal the coefficient of variation.

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