2020 Annual Reliability and Maintainability Symposium (RAMS)最新文献

{"title":"Front End Analysis as a Reliability Tool in Today’s Commercial Off the Shelf Environment","authors":"M. Salvetti","doi":"10.1109/RAMS48030.2020.9153686","DOIUrl":"https://doi.org/10.1109/RAMS48030.2020.9153686","url":null,"abstract":"In today’s market place a trend is in place to move from MIL- STANDARD (MIL-STD) to Commercial off the Shelf (COTS) equipment as cost becomes a major driver in our military procurements. While it may have been sufficient in the past to focus on extensive classical reliability and maintainability testing methods of complex models as the primary method for ensuring the procurements had a high degree of reliability these methods today in the in procurement of COTS equipment is receiving push back from many of the COTS vendors.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"412 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124403614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Economic Model in Support of Reliability Centered Maintenance","authors":"Rodney Benson, Darryl W. Kellner","doi":"10.1109/RAMS48030.2020.9153645","DOIUrl":"https://doi.org/10.1109/RAMS48030.2020.9153645","url":null,"abstract":"This paper provides an overview of the Reliability Centered Maintenance process and describes a reinforcing process to assist in determining potential maintenance tasks that are cost effective. This unique analysis process is used to facilitate selecting appropriate tasks when multiple maintenance task options exist to maintain the inherent reliability of a system. Cost is one of the critical considerations that should be addressed when developing a maintenance philosophy involving non-critical tasks for functionally significant equipment.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128420491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of Manufacturing Errors on Product Defects","authors":"B. Haughey, Relia Train","doi":"10.1109/RAMS48030.2020.9153663","DOIUrl":"https://doi.org/10.1109/RAMS48030.2020.9153663","url":null,"abstract":"Summary & ConclusionsThe Forward of the Aerospace Standard AS13004 Process Failure Mode and Effects Analysis (PFMEA) and Control Plans defines the industry challenge of designing and producing a safe, dependable, and reliable product in today's global environment. It reads, “To assure customer satisfaction, the aviation, space, and defense industry organizations have to produce and continually improve safe, reliable products that equal or exceed customer and regulatory authority requirements. The globalization of the industry and the resulting diversity of regional/national requirements and expectations have complicated this objective. End-product organizations face the challenge of assuring the quality of and integration of product purchased from suppliers throughout the world and at all levels within the supply chain. Industry suppliers face the challenge of delivering product to multiple customers having varying quality expectations and requirements.” The world is becoming smaller and there are many opportunities for organizations to cross-over into other industries. Most manufacturers have well-defined systems engineering product development processes based on their current industry. However, global customer requirements demand reliability risk analysis, for both product and process designs, in different formats based on different standards. With limited resources and time, organizations must figure out a common process and format that will meet the needs of all customers. The challenge also extends to ensuring suppliers are all meeting the same requirements. There are 6 steps (phases) organizations follow to complete their quality and reliability risk analysis (FMEA or FMECA) of the product and process designs. Organizations will be able to identify a common documentation format that will deliver the required information of any industry standard. Those 6 steps are: 1) Planning; 2) Preparation; 3) Problem Analysis of Product (or Process) Risk; 4) Risk Assessment and Actions; 5) Actions Results, Risk Reassessment (and Control Plans); and 6) Audit, Feedback, and Follow-up Loop. Consistent application of a common process is critical. If an organization falls short in any one area of the process it could affect the overall quality and reliability of their product.FMEA standards have continuously evolved based on changes in industry application and product complexity. Organizations need to evaluate their internal FMEA process to understand if it will support the quality and reliability expectations of both themselves and their customers. Some standards (such as MIL-STD-1629A) have been cancelled for many years and have not had the benefit of updates based on industry knowledge. If your FMEA process does not consider the following process steps there is an increased possibility your product will not meet your internal or customer requirements","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125328304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of an All-Electric Safety Subsea Actuation System Architecture","authors":"Tobias Winter, Markus Glaser, B. Bertsche, Sebastian Imle, Julian Popp","doi":"10.1109/RAMS48030.2020.9153641","DOIUrl":"https://doi.org/10.1109/RAMS48030.2020.9153641","url":null,"abstract":"The paper compares a state of the art electro-hydraulic actuation system with a novel all-electric actuation system for subsea x-mas trees. For this purpose, the two systems are compared to each other based on the same method. The capability of providing the safety is analyzed based on the functional safety standard for electrical, electronic programmable devices. The architectures of both designs are presented. The components of each system are described in detail and the data used for the safety analysis are provided. Based on the failure rates for each component the probability of failure on demand is calculated and discussed. The resulting probability of failure on demand (PFD) is analyzed regarding the shares of the total PFD. The resulting safety integrity levels (SIL) of both systems are determined. The electric system provides by factor two lower PFD compared to the hydraulic system. Each component is allocated to the component type and to the Safe Failure Fraction (SFF) based on the Hardware Fault Tolerance (HFT). The conclusion shows the significant difference in the diagnostic coverage of both systems.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121791854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MTBFs and PDFs: How to (not) Manage for Reliability","authors":"C. Jackson","doi":"10.1109/RAMS48030.2020.9153719","DOIUrl":"https://doi.org/10.1109/RAMS48030.2020.9153719","url":null,"abstract":"There was once a company that prided itself on its industry leading approach to reliability and quality. It had won virtually all relevant awards and had all the certifications it could receive. But the Chief Executive Officer (CEO) had a ‘hunch.’ He was not convinced that his company was performing to the level that warranted the external recognition it received.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121577103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soft Sensor Application to Predict Remaining Useful Life of Components of the Exhaust System of Diesel Engines","authors":"Martin Diesch, M. Dazer, Kevin Lucan, T. Bubolz, B. Bertsche","doi":"10.1109/RAMS48030.2020.9153586","DOIUrl":"https://doi.org/10.1109/RAMS48030.2020.9153586","url":null,"abstract":"In this paper, the application of soft sensors for the estimation of the load on a component as well as the further use of the resulting load-time-signal are described. In the first step the exhaust system of diesel enignes as well as all unput and output variables are characterized. In the following step, the soft sensor is modelled to estimate the load on a component. Furthermore, the derivation of load spectra from the soft sensor and the future usage for the prediction of the remaining useful life are discussed.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133485091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applying Model Based Safety Assessment for Aircraft Landing Gear System Certification","authors":"Syed Haider","doi":"10.1109/RAMS48030.2020.9153705","DOIUrl":"https://doi.org/10.1109/RAMS48030.2020.9153705","url":null,"abstract":"New aircraft certification includes Systems Safety Assessment and Flight Testing for verifying compliance to various certification standards, noise testing, reliability testing, human factors analysis and qualitative assessments of flying qualities. The Model-Based Systems Engineering methodology has demonstrated its usefulness and practicality for performance validation of aircraft critical systems like the flight control systems prior to the start of actual qualification testing or flight testing. Use of model based methodology can be applied to failure and safety assessment tasks and certification process. Initial adaptation of MBSE was limited to aircraft systems related to electronics, avionics and software based components. There are some challenges in implementing Model-Based Safety Analysis to mechanical and electro-mechanical based systems like aircraft wheel braking system and nose steering system. MBSA promotes and supports virtual flight testing and is a powerful tool for verifying design and safety related malfunctions particularly for those failures conditions where it may not be possible to test these during the regular flight test regime.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134458867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Simple Tool for Reliable Government Problem Solving and Getting Legislation Passed","authors":"A. Feinberg","doi":"10.1109/RAMS48030.2020.9153680","DOIUrl":"https://doi.org/10.1109/RAMS48030.2020.9153680","url":null,"abstract":"In this paper we provide a simple tool for government that can be used by any political committee to do proper government problem solving and faster legislation. We exemplify this for social economic problem solving to help ensure reliability of macroeconomics in political decision making. Today, not just in the United States, but in governments across the globe, policies are predicated on bias rather than problem solving. No greater is the problem than in the USA where partisan politics dominate, along with special interest lobbyist groups. These can badly influence critical decision making and create stumbling blocks in passing legislation. As a result, government has become highly unreliable, for example, the handling of the national debt.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114579568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RAMS 2020 Program","authors":"","doi":"10.1109/rams48030.2020.9153634","DOIUrl":"https://doi.org/10.1109/rams48030.2020.9153634","url":null,"abstract":"","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117156469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ring Laser Gyroscope Warm Standby Redundancy Subject to Wearout Failure and Time Varying Thermal Stresses","authors":"Wei Huang, Roy Andrada, D. Borja","doi":"10.1109/RAMS48030.2020.9153675","DOIUrl":"https://doi.org/10.1109/RAMS48030.2020.9153675","url":null,"abstract":"This paper presents a reliability analysis for a 2-for-1 warm standby redundant RLG configuration subject to time varying thermal stress (temperature). Starting from reliability analysis at the component level on ring laser assemblies and support electronics box, a system level reliability model is developed for the configuration. To account for temperature’s time variation, the cumulative effect of exposure (or damage) models are used, along with the distribution parameter’s temperature dependency based on the Arrhenius model. An example is presented to demonstrate how the temperature’s time variation would affect the reliability at both component and system (2-for-l configuration) level. In conclusion, a proposed path-forward is outlined.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117311785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}