{"title":"δ-冲击建模的一些新方法","authors":"Reza Farhadian, Habib Jafari","doi":"10.1016/j.apm.2024.115707","DOIUrl":null,"url":null,"abstract":"<div><p>In <em>δ</em>-shock modeling, the life behavior of systems suffering from random shocks depends on the length of inter-arrival times between successive shocks. In this paper, a generalized version of the classical <em>δ</em>-shock model is studied, under which the system fails when the inter-arrival time falls in the interval <span><math><mo>[</mo><mi>α</mi><mo>,</mo><mi>δ</mi><mo>]</mo></math></span> for <span><math><mn>0</mn><mo>≤</mo><mi>α</mi><mo><</mo><mi>δ</mi></math></span>. Furthermore, with an innovative approach, the classical <em>δ</em>-shock model is studied under this new assumption that the inter-arrival times are overdispersed in the critical interval of the model. This is a new assumption compared to the traditional assumptions in the context of shock models and actually introduces a situation wherein the system is under pressure to fail. Under this assumption, two situations are considered for the system, which are regular and critical situations, and then the reliability behavior of the system's lifetime is investigated under these situations. Some examples are also provided to illustrate the theoretical results of the application.</p></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Some new approaches to δ-shock modeling\",\"authors\":\"Reza Farhadian, Habib Jafari\",\"doi\":\"10.1016/j.apm.2024.115707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In <em>δ</em>-shock modeling, the life behavior of systems suffering from random shocks depends on the length of inter-arrival times between successive shocks. In this paper, a generalized version of the classical <em>δ</em>-shock model is studied, under which the system fails when the inter-arrival time falls in the interval <span><math><mo>[</mo><mi>α</mi><mo>,</mo><mi>δ</mi><mo>]</mo></math></span> for <span><math><mn>0</mn><mo>≤</mo><mi>α</mi><mo><</mo><mi>δ</mi></math></span>. Furthermore, with an innovative approach, the classical <em>δ</em>-shock model is studied under this new assumption that the inter-arrival times are overdispersed in the critical interval of the model. This is a new assumption compared to the traditional assumptions in the context of shock models and actually introduces a situation wherein the system is under pressure to fail. Under this assumption, two situations are considered for the system, which are regular and critical situations, and then the reliability behavior of the system's lifetime is investigated under these situations. Some examples are also provided to illustrate the theoretical results of the application.</p></div>\",\"PeriodicalId\":50980,\"journal\":{\"name\":\"Applied Mathematical Modelling\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Mathematical Modelling\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0307904X24004608\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematical Modelling","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0307904X24004608","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
In δ-shock modeling, the life behavior of systems suffering from random shocks depends on the length of inter-arrival times between successive shocks. In this paper, a generalized version of the classical δ-shock model is studied, under which the system fails when the inter-arrival time falls in the interval for . Furthermore, with an innovative approach, the classical δ-shock model is studied under this new assumption that the inter-arrival times are overdispersed in the critical interval of the model. This is a new assumption compared to the traditional assumptions in the context of shock models and actually introduces a situation wherein the system is under pressure to fail. Under this assumption, two situations are considered for the system, which are regular and critical situations, and then the reliability behavior of the system's lifetime is investigated under these situations. Some examples are also provided to illustrate the theoretical results of the application.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.