Narayanaswamy Balakrishnan - Accelerated Life Testing of One-shot Devices

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Provides authoritative guidance on statistical analysis techniques and inferential methods for one-shot device life-testing Estimating the reliability of one-shot devices—electro-expolsive devices, fire extinguishers, automobile airbags, and other units that perform their function only once—poses unique analytical challenges to conventional approaches. Due to how one-shot devices are censored, their precise failure times cannot be obtained from testing. The condition of a one-shot device can only be recorded at a specific inspection time, resulting in a lack of lifetime data collected in life-tests.
Accelerated Life Testing of One-shot Devices: Data Collection and Analysis Provides expert guidance on comprehensive data analysis of one-shot devices under accelerated life-tests Discusses how to design experiments for data collection from efficient accelerated life-tests while conforming to budget constraints Helps readers develops optimal designs for constant-stress and step-stress accelerated life-tests, mainstream life-tests commonly used in reliability practice Includes R code in each chapter for readers to use in their own analyses of one-shot device testing data Features numerous case studies and practical examples throughout Highlights important issues, problems, and future research directions in reliability theory and practice
is essential reading for graduate students, researchers, and engineers working on accelerated life testing data analysis.

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Source: Zelen (1959).

Test group Inspection time Temperature Voltage Number of samples Number of failures
1 450 443 200 8 1
2 400 453 200 8 0
3 350 443 250 8 0
4 300 453 250 8 1
5 450 443 300 8 3
6 400 453 300 8 4
7 350 443 350 8 3
8 300 453 350 8 2

Table 1.3 Failure records on solder joints under CSALTs with temperature (K) and a dichotomous variable indicating if the PCB type is “copper‐nickel‐tin (CNT)” or not.

Source: Lau et al. (1988).

Test group Inspection time Temperature CNT Number of samples Number of failures
1 300 293 Yes 10 4
2 300 333 Yes 10 4
3 100 373 Yes 10 6
4 1300 293 No 20 10
5 800 333 No 20 3
6 200 373 No 20 4

1.4.4 Grease‐Based Magnetorheological Fluids Data

Zheng et al. (2018) studied grease‐based magnetorheological fluids under SSALTs with four levels of temperature and observed whether their viscosities or shear stresses decreased by more than 10% after tests. Twenty samples of grease‐based magnetorheological fluids were subject to higher‐than‐normal operating temperature. Then, each sample was inspected only once and only whether it had failed or not at the inspection time was observed, and not the actual failure time. The data collected in this manner, presented in Table 1.4, were then used to estimate the mean lifetime of grease‐based magnetorheological fluids under the normal operating temperature.

1.4.5 Mice Tumor Toxicological Data

It is important to point out that one‐shot device testing data arise from diverse fields beyond reliability engineering, such as in mice tumor studies from tumorigenicity experiments; see Kodell and Nelson (1980). In such a study, each mouse received a particular dosage of benzidine dihydrochloride in its drinking water and was later sacrificed to detect whether some tumors had developed by then or not. Tumor presence can be detected only at the time of mouse's sacrifice or natural death. These data are summarized in Table 1.5. The data collected in this form were then used to measure the impact of the chemical dosage on the risk of tumor development.

1.4.6 ED01 Experiment Data

Lindsey and Ryan (1993) described experimental results conducted by National Center for Toxicological Research in 1974. 3355 out of 24 000 female mice were randomized to a control group or groups that were injected with a high dose (150 ppm) of a known carcinogen, called 2‐AAF, to different parts of the bodies. The inspection times on the mice were 12, 18, and 33 months and the outcomes of mice were death without tumor (DNT) and death with tumor (DWT), and sacrificed without tumor (SNT) and sacrificed with tumor (SWT). Balakrishnan et al. (2016a), in their analysis, ignored the information about parts of mouse bodies where the drugs were injected and combined SNT and SWT into one sacrificed group, and denoted the cause of DNT as natural death and the cause of DWT as death due to cancer. These data are summarized in Table 1.6. They then estimated the chance of death without tumor.

1.4.7 Serial Sacrifice Data

Ling et al. (2020) were primarily concerned with the data (Berlin et al., 1979), presented in Table 1.7, on the presence or absence of two disease categories – (a) thymic lymphoma and/or glomerulosclerosis and (b) all other diseases – for an irradiated group of 343 female mice given картинка 37‐radiation and a control group of 361 radiation‐free female mice to study the onset time and the rate of development of radiation‐induced disease. All of the mice in both groups were sacrificed at various times, with the presence of a disease indicating that the disease onset occurred before sacrifice, while the absence of a disease indicating that the disease onset would occur after sacrifice.

Table 1.4 Failure records on grease‐based magnetorheological fluids under SSALTs with temperature (K).

Source: Zheng et al. (2018).

Stage Inspection time (h) Temperature Number of samples Number of failures
1 864 333 5 1
2 1512 339 5 1
3 1944 345 5 2
4 2160 351 5 2

Table 1.5 The number of mice sacrificed, with tumor from tumorigenecity experiments data.

Source: Kodell and Nelson (1980).

Test group Inspection time (mo) Sex Dosage (ppm) Number of mice sacrificed Number of mice with tumor
1 9.33 F 60 72 1
2 14.00 F 60 48 3
3 18.67 F 60 36 18
4 9.33 F 120 48 0
5 14.00 F 120 47 14
6 18.67 F 120 26 25
7 9.33 F 200 47 4
8 14.00 F 200 45 38
9 9.33 F 400 24 16
10 14.00 F 400 10 9
11 9.33 M 120 48 0
12 14.00 M 120 44 7
13 18.67 M 120 42 11
14 9.33 M 200 47 3
15 14.00 M 200 32 5
16 18.67 M 200 19 8
17 9.33 M 400 24 0
18 14.00 M 400 22 11
19 18.67 M 400 15 11

Table 1.6 The number of mice sacrificed, died without tumor, and died with tumor from the ED01 experiment data.

Source: Lindsey and Ryan (1993).

Number of mice
Test group Inspection time (mo) High dose of 2‐AAF Sacrificed Died without tumor Died with tumor
1 12 No 115 22 8
2 12 Yes 110 49 16
3 18 No 780 42 8
4 18 Yes 540 54 26
5 33 No 675 200 85
6 33 Yes 510 64 51

Table 1.7 Serial sacrifice data on the presence or absence of two disease categories: (a) thymic lymphoma and/or glomerulosclerosis and (b) all other diseases.

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