{"id":47831,"date":"2022-12-09T23:42:24","date_gmt":"2022-12-09T23:42:24","guid":{"rendered":"https:\/\/illinoiscasinos.net\/?p=47831"},"modified":"2024-10-07T11:16:51","modified_gmt":"2024-10-07T11:16:51","slug":"machine-learning-assisted-prediction-of-stress","status":"publish","type":"post","link":"https:\/\/illinoiscasinos.net\/index.php\/2022\/12\/09\/machine-learning-assisted-prediction-of-stress\/","title":{"rendered":"Machine Learning-assisted Prediction Of Stress Corrosion Crack Growth Price In Chrome Steel"},"content":{"rendered":"<p>The Assets part of the Reliability Growth report shows values which may be saved within the Failures field in the Reliability Growth record. The Assets section will look different relying on whether the evaluation is predicated on dates or cumulative working time. If you report event-based knowledge utilizing operating time as a substitute of failure dates (e.g., a failure occurred after the piece of apparatus was working for 10 days), then you&#8217;ll be able to create a Reliability Growth Analysis using event-based knowledge and cumulative operating time (COT). The first mannequin is the nonhomogeneous Poisson process formulation6 with a selected specification of a time-varying intensity perform \u03bb(T). The next two sections take a glance at common DoD fashions for reliability progress and at DoD functions <a href=\"https:\/\/www.globalcloudteam.com\/glossary\/reliability-growth-model\/\">reliability growth model<\/a> of growth fashions.<\/p>\n<h2>Create A Reliability Growth Analysis From Failure Dates Utilizing An Present Query Or Dataset<\/h2>\n<ul>\n<li>The Growth Model Segments part of the Reliability Growth report displays data that is saved within the Reliability Growth record and the Growth Model record that&#8217;s linked to the Reliability Growth document.<\/li>\n<li>This report examines modifications to the reliability necessities for proposed systems; defines trendy design and testing for reliability; discusses the contractor&#8217;s role in reliability testing; and summarizes the present state of formal reliability growth modeling.<\/li>\n<li>This model assumes that completely different sections (or classes) of software program are separately modeled by exponential model.<\/li>\n<li>This structured process of discovering reliability problems and monitoring the rise of the product&#8217;s reliability by way of successive phases is called reliability development.<\/li>\n<li>Therefore, although the nonhomogeneous Poisson course of mannequin is one of the main approaches to modeling the reliability of software program (and hardware) systems in development, it usually offers poor inferences and decision rules for the administration of software program techniques in development.<\/li>\n<\/ul>\n<p>Failure modes which would possibly be <a href=\"https:\/\/www.globalcloudteam.com\/\">https:\/\/www.globalcloudteam.com\/<\/a> discovered via testing are categorized as either Type A or Type B, corresponding, respectively, to these for which corrective actions will not or shall be undertaken (often because of price or feasibility prohibitions). For each carried out reliability enhancement, the corresponding failure fee or failure probability is assumed to be lowered by some identified fix effectiveness issue, which is based on inputs from subject-matter experts or historic information. Although the number of distinct failure modes is unknown, tractable outcomes have been obtained by considering the limit as this count is allowed to method infinity.<\/p>\n<h2>Predicting Weekly Defect Inflow In Giant Software Tasks Based Mostly On Project Planning And Check Standing<\/h2>\n<p>Figure four shows one of several strategies to examine whether or not this assumption is valid, the Beta Bounds plot, which displays the arrogance bounds on Beta at different confidence levels and demonstrates how these examine to the road where Beta equals one. Third, reliability development models offer forecasting capabilities\u2014to predict both the time at which the required reliability degree ultimately will be attained or the reliability to be realized at a specific time. Here, the questions concerning the validity of reliability growth fashions are of the greatest concern because extrapolation is a extra extreme test than interpolation. Consequently, the panel doesn&#8217;t help using these models for such predictions, absent a comprehensive validation.<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"https:\/\/www.globalcloudteam.com\/wp-content\/uploads\/2023\/08\/11897458-dd6b-4ccc-8755-cc5342891f51-768x504.webp\" width=\"602px\" alt=\"reliability growth model\"\/><\/p>\n<h2>Estimating Software Program Readiness Utilizing Predictive Models<\/h2>\n<p>Markov fashions require transition possibilities from state to state the place the states are outlined by the current values of key variables that define the functioning of the software system. Using these transition probabilities, a stochastic model is created and analyzed for stability. A primary limitation is that there is usually a very large number of states in a large software program program. The Data part of the Reliability Growth report displays information that is stored in the Failures field of the Reliability Growth report.<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"https:\/\/www.globalcloudteam.com\/wp-content\/uploads\/2020\/12\/a-guide-to-programming-outsourcing.webp\" width=\"600px\" alt=\"reliability growth model\"\/><\/p>\n<h2>Related Content Material Being Seen By Others<\/h2>\n<p>The \u201cDuane Method\u201d calculator in the Quanterion Automated Reliability Toolkit \u2013 Enhanced Reliability (QuART-ER) (Figure 1) and QuART-PRO can be utilized to carry out the calculations. If the required test time is prohibitive, then a extra aggressive approach to precipitating and correcting failures ought to be thought of, which might justify a better development price. A excessive share of protection techniques fail to fulfill their reliability requirements. Those systems aren&#8217;t solely much less likely to efficiently perform their supposed missions, however they also might endanger the lives of the operators.<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"https:\/\/www.globalcloudteam.com\/wp-content\/uploads\/2023\/08\/website-structure-step.webp\" width=\"601px\" alt=\"reliability growth model\"\/><\/p>\n<h2>Suggestions For Applying Srgms In Business For Embedded Software Growth<\/h2>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"https:\/\/www.globalcloudteam.com\/wp-content\/uploads\/2023\/08\/the-best-cloud-backup-services-for-business-img-2.webp\" width=\"604px\" alt=\"reliability growth model\"\/><\/p>\n<p>Reliability improvement as a outcome of written and institutionalized formal procedures and manuals which may be a everlasting implementation to the system design is a half of the reliability growth course of. Natural studying is an individual characteristic and isn&#8217;t reliability development. Given that software is a vitally essential side of reliability and that predicting software reliability early in growth is a severe problem, we advise that DoD make a substantial effort to stay current with efforts employed in industry to provide helpful predictions. The reliability of the system is estimated on the premise of the number of faults in every complexity stage (high, reasonable, low) of the software. Both kinds of modeling strategies are based mostly on observing and accumulating failure data and analyzing with statistical inference. Software reliability fashions have appeared as individuals attempt to perceive the options of how and why software fails, and try and quantify software reliability.<\/p>\n<h2>Software Reliability And Price Models: Perspectives, Comparability, And Apply<\/h2>\n<p>However, the probabilistic underpinnings of software failure modes are fairly different from those for hardware failure modes.5 Nevertheless, the resultant types of software reliability growth could serve to fit reliability information from general developmental take a look at settings. Software reliability growth fashions have, at best, restricted use for making predictions as to the future reliability of a software program system in growth for a quantity of causes. Most necessary, the pattern of reliability growth evident during the improvement of software systems is often not monotonic as a end result of corrections to handle defects will at occasions introduce further defects. Therefore, although the nonhomogeneous Poisson course of model is likely one of the leading approaches to modeling the reliability of software program (and hardware) systems in improvement, it usually offers poor inferences and determination rules for the management of software methods in development. Among them, the simpler technique is the extension methodology utilizing the testing-time function.<\/p>\n<h2>Entry Reliability Progress Evaluation Report<\/h2>\n<p>When you generate a report for an analysis that has been split into segments, the report will include details about each section and the analysis as an entire. If the worth in this field is blank, a clean Asset ID might be assigned to the info. An ID that uniquely describes a chunk of kit or location, corresponding to Asset ID or Tag ID. Additionally, you can view the AMSAA Reliability Growth Model web page for an summary of the formulas used by the GE Digital APM system to calculate the model outcomes.<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width=\"602px\" alt=\"reliability growth model\"\/><\/p>\n<p>In a research on Windows Server 2003, Nagappan and Ball (2005) demonstrated the use of relative code churn measures (normalized values of the varied measures obtained through the evolution of the system) to predict defect density at statistically vital levels. Zimmermann et al. (2005) mined supply code repositories of eight large-scale open supply methods (IBM Eclipse, Postgres, KOffice, gcc, Gimp, JBoss, JEdit, and Python) to predict where future modifications would take place in these techniques. The top three recommendations made by their system identified an accurate location for future change with an accuracy of 70 p.c. Based models, which we consider have important benefits as instruments for predicting software reliability of a system. Figure 7 shows one of the plots available for repairable techniques evaluation in RGA. This is the System Operation plot, which displays a timeline of the failures for every of the individual techniques, together with the failures for the mixed superposition system.<\/p>\n<p>Reliability progress is the intentional optimistic enchancment that&#8217;s made within the reliability of a product or system as defects are detected, analyzed for root trigger, and eliminated. The process of defect removing could be ad hoc, as they are found throughout design and improvement, a perform of an off-the-cuff test-analyze-and-fix course of (TAAF), or it can be as a outcome of formal Reliability Growth Testing (RGT). Reliability Growth Testing is carried out to gauge current reliability, identify and remove hardware defects and software program faults, and forecast future product or system reliability.<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"https:\/\/www.globalcloudteam.com\/wp-content\/uploads\/2020\/10\/what-is-cloud-computing.webp\" width=\"602px\" alt=\"reliability growth model\"\/><\/p>\n<p>Here, the testing effort represents test protection, executed take a look at cases, CPU time, execution time, and man-hour [2, 3]. It means that software program reliability progress cannot be observed without substantial testing effort, not testing time. The current SRGMs recommend that the number of detected faults will increase unconditionally because the testing time elapses whatever the amount of testing effort.<\/p>\n<p>Modeling the stochastic software failure detection course of turned an necessary concern in engineering within the Seventies. Many software program reliability models have been proposed since then where the Software Reliability Growth Models (SRGM) based on the nonhomogeneous Poisson course of constitutes an essential group, see, for instance, Ref. [1, 2]. During the last many years, software program has turn into a crucial element in many technological projects. New development and testing methodologies have been launched within the self-discipline of software program engineering with the aim of acquiring extra dependable products with quality assurance.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Assets part of the Reliability Growth report shows values which may be saved within the Failures field in the Reliability Growth record. The Assets section will look different relying on whether the evaluation is predicated on dates or cumulative working time. If you report event-based knowledge utilizing operating time as a substitute of failure [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[104],"tags":[],"_links":{"self":[{"href":"https:\/\/illinoiscasinos.net\/index.php\/wp-json\/wp\/v2\/posts\/47831"}],"collection":[{"href":"https:\/\/illinoiscasinos.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/illinoiscasinos.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/illinoiscasinos.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/illinoiscasinos.net\/index.php\/wp-json\/wp\/v2\/comments?post=47831"}],"version-history":[{"count":1,"href":"https:\/\/illinoiscasinos.net\/index.php\/wp-json\/wp\/v2\/posts\/47831\/revisions"}],"predecessor-version":[{"id":47832,"href":"https:\/\/illinoiscasinos.net\/index.php\/wp-json\/wp\/v2\/posts\/47831\/revisions\/47832"}],"wp:attachment":[{"href":"https:\/\/illinoiscasinos.net\/index.php\/wp-json\/wp\/v2\/media?parent=47831"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/illinoiscasinos.net\/index.php\/wp-json\/wp\/v2\/categories?post=47831"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/illinoiscasinos.net\/index.php\/wp-json\/wp\/v2\/tags?post=47831"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}