{"title":"通过自我强化提高可靠性和降低风险","authors":"Michael T. Todinov","doi":"10.1504/IJRAM.2019.096686","DOIUrl":null,"url":null,"abstract":"The method of self-reinforcement has been introduced as a domain-independent method for improving reliability and reducing risk. A key feature of self-reinforcement is that increasing the external/internal forces intensifies the system's response against these forces. As a result, the driving net force towards precipitating failure is reduced. In many cases, the self-reinforcement mechanisms achieve remarkable reliability increase at no extra cost. Two principal ways of self-reinforcement have been identified: reinforcement by capturing a proportional compensating factor and reinforcement by using feedback loops. Mechanisms of transforming forces and motion into self-reinforcing response have been introduced and demonstrated through appropriate examples. Mechanisms achieving self-reinforcement response by self-aligning, self-anchoring and self-balancing have also been introduced. For the first time, the potential of positive feedback loops to achieve self-reinforcement and risk reduction was demonstrated. In this respect, it is shown that self-energising, fast growth and fast transition provided by positive feedback loops can be used with success for achieving reliability improvement. Finally, a classification was proposed of methods and techniques for reliability improvement and risk reduction based on the method of self-reinforcement.","PeriodicalId":35420,"journal":{"name":"International Journal of Risk Assessment and Management","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reliability improvement and risk reduction through self-reinforcement\",\"authors\":\"Michael T. Todinov\",\"doi\":\"10.1504/IJRAM.2019.096686\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The method of self-reinforcement has been introduced as a domain-independent method for improving reliability and reducing risk. A key feature of self-reinforcement is that increasing the external/internal forces intensifies the system's response against these forces. As a result, the driving net force towards precipitating failure is reduced. In many cases, the self-reinforcement mechanisms achieve remarkable reliability increase at no extra cost. Two principal ways of self-reinforcement have been identified: reinforcement by capturing a proportional compensating factor and reinforcement by using feedback loops. Mechanisms of transforming forces and motion into self-reinforcing response have been introduced and demonstrated through appropriate examples. Mechanisms achieving self-reinforcement response by self-aligning, self-anchoring and self-balancing have also been introduced. For the first time, the potential of positive feedback loops to achieve self-reinforcement and risk reduction was demonstrated. In this respect, it is shown that self-energising, fast growth and fast transition provided by positive feedback loops can be used with success for achieving reliability improvement. Finally, a classification was proposed of methods and techniques for reliability improvement and risk reduction based on the method of self-reinforcement.\",\"PeriodicalId\":35420,\"journal\":{\"name\":\"International Journal of Risk Assessment and Management\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Risk Assessment and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJRAM.2019.096686\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Decision Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Risk Assessment and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJRAM.2019.096686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
Reliability improvement and risk reduction through self-reinforcement
The method of self-reinforcement has been introduced as a domain-independent method for improving reliability and reducing risk. A key feature of self-reinforcement is that increasing the external/internal forces intensifies the system's response against these forces. As a result, the driving net force towards precipitating failure is reduced. In many cases, the self-reinforcement mechanisms achieve remarkable reliability increase at no extra cost. Two principal ways of self-reinforcement have been identified: reinforcement by capturing a proportional compensating factor and reinforcement by using feedback loops. Mechanisms of transforming forces and motion into self-reinforcing response have been introduced and demonstrated through appropriate examples. Mechanisms achieving self-reinforcement response by self-aligning, self-anchoring and self-balancing have also been introduced. For the first time, the potential of positive feedback loops to achieve self-reinforcement and risk reduction was demonstrated. In this respect, it is shown that self-energising, fast growth and fast transition provided by positive feedback loops can be used with success for achieving reliability improvement. Finally, a classification was proposed of methods and techniques for reliability improvement and risk reduction based on the method of self-reinforcement.
期刊介绍:
The IJRAM is an interdisciplinary and refereed journal that provides cross learning between: - Different business and economics, as well as scientific and technological, disciplines - Energy industries, environmental and ecological systems - Safety, public health and medical services - Software services, reliability and safety