Predictive Maintenance is an important solution to the rising maintenance costs in the industries. With the advent of intelligent computer and availability of data, predictive maintenance is seen as a solution to predict and prevent the occurrence of the faults in the different types of machines. This thesis provides a detailed methodology to predict the occurrence of critical Diagnostic Trouble codes that are observed in a vehicle in order to take necessary maintenance actions before occurrence of the fault in automobiles using Convolutional Neural Network architecture.

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Yes / Proposes the application of a genetic algorithm (GA) and simulated annealing (SA) based hybrid approach for the scheduling of generator maintenance in power systems using an integer representation. The adapted approach uses the probabilistic acceptance criterion of simulated annealing within the genetic algorithm framework. A case study is formulated in this paper as an integer programming problem using a reliability-based objective function and typical problem constraints. The implementation and performance of the solution technique are discussed. The results in this paper demonstrate that the technique is more effective than approaches based solely on genetic algorithms or solely on simulated annealing. It therefore proves to be a valid approach for the solution of generator maintenance scheduling problems

Using individual and couple interviews, this qualitative work examined relational maintenance behaviors of 13 African-American dual-career couples. Findings reveal that study participants employed a variety of routine and strategic behaviors which they identified as relevant to maintaining marital satisfaction and stability. Couples distinguished between strategies in their daily interactions and those implemented for the long-term sustainment of their marriages. Couples also engaged a series of repair behaviors designed to restore the marital relationship once a transgression occurred. A new category of maintenance was discovered as useful for these African-American couples -- seek a spiritual connection. Each finding is discussed in regard to how it advances understanding of relational maintenance behaviors. / Ph. D.

The purpose of this study was to examine the perceptions of selected school board members across the country regarding the quality and condition, maintenance, and improvement and renovation of existing public school facilities within their district. There were three research questions in this study. The first question examined how selected school board members perceived the quality and condition of existing public school facilities. The second question examined how they perceived the maintenance of these facilities. The third question examined what actions had been taken by the school boards of these selected members to address the improvement and renovation of these facilities. A descriptive research methodology was employed in this study. A nationwide stratified random sample had been selected to receive a coded mailed questionnaire consisting of twenty-one survey items, seven for each of the three research questions. The questionnaire included demographic information designed to allow the researcher to disaggregate the data received according to each of nine geographic regions throughout the country. Two follow-up mailings were made to non-respondents to increase the data collection return rate. Incomplete returns were not included in the data analysis. Frequency tables and descriptive statistics were constructed to display results with respect to each of the three research questions. The researcher found that the results of this study did not support significant recommendations that affirm findings in previous studies. Those findings described a continual pattern in the failure of school districts across the country to properly maintain the quality and condition, maintenance, and improvement and renovation of existing public school facilities. This study surveyed selected school board members nationally for the first time regarding their perceptions on these issues. / Ed. D.

This study tested an integrated social cognitive model of physical activity intention formation, onset, and maintenance among sedentary participants (N = 465) in a church-based, social cognitive, physical activity intervention. Three separate models were tested via structural equation modeling. Each model provided a good fit to the data. The models explained 28%, 19%, and 9% of the variance in intention formation, physical activity onset, and physical activity maintenance, respectively. Consistent with hypotheses, self-efficacy mediated the effect of positive outcome expectancy on behavioral intention, adoption of behavioral strategies mediated the effect of the intervention on physical activity onset, and maintenance of self-efficacy mediated the effect of the intervention on physical activity maintenance. Contrary to hypotheses, change in self-efficacy from baseline to post-assessment and perceived satisfaction with intervention outcomes did not have effects on physical activity onset or maintenance. The findings provide preliminary evidence that physical activity intention formation, onset, and maintenance are distinct processes driven by different determinants before, during, and following a social cognitive physical activity intervention. / Ph. D.

Continuous integration (CI) is a widely used practice in modern software engineering. Unfortunately, it is also an expensive practice — Google and Mozilla estimate their CI systems in millions of dollars. In this dissertation, I propose a collection of novel build selection approaches that are able to save the cost of CI. I also propose the first exhaustive comparison of techniques to improve CI including build and test granularity approaches. I firstly design a build selection approach (SMARTBUILDSKIP) for CI cost reduction in a balanceable way. The evaluation of SMARTBUILDSKIP shows that it can save a median of 30% of builds by only incurring a median delay of 1 build in a median of 15% of failing builds under its most conservative configuration. To minimize the delayed failure observation, I then propose the second build selection approach (PRECISEBUILDSKIP) that can save cost without delaying failure observation. We find that PRECISEBUILDSKIP can save a median of 5.5% of builds while capturing the majority of failing builds (100% in median) from the evaluation. After that, I evaluate the strengths and weaknesses of 10 techniques that can improve CI including SMARTBUILDSKIP. The findings of the comparison motivate my next work to design a hybrid technique (HYBRIDBUILDSKIP) that combines these techniques to produce more cost-saving while keeping a low proportion of failing builds that are delayed in observation. Finally, I design an experiment to understand how different weights of test duration among the whole build duration can influence the cost-saving of build and test selection techniques. / Doctor of Philosophy / Modern software developing teams commonly use the continuous integration as the practice of automating and testing the integration of code changes from multiple contributors into a single software project. The best practice of continuous integration requires this process happens as frequently as possible because the bugs can be found earlier and easier before the change sets grow too large. However, continuous integration process can be time-consuming and in most cases the code change is bug-free. This means that developers may have to wait for a long time only to get a result with no actionable feedback. Thus, in this dissertation, I present multiple selection approaches to selectively execute the continuous integration process based on the prediction of the outcome - if the outcome is predicted to be passing with no actionable feedback, the approach will decide to skip the current execution. The evaluation result shows that my approaches can save the cost of continuous integration while keeping the value of it (finding bugs earlier).