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ARDC China 2018

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ARDC China

ARDC provides a unique forum to discuss current best practices and real-world solutions. The event will be held in English and Mandarin (with instant translation available during presentations).

Choose among tracks on
reliability and durability

Customize your schedule with sessions across multiple tracks focused on reliability and durability topics.

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with discussion panels

Choose your interactive discussion panels, moderated by industry professionals and guided by your feedback.

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Program

Results-oriented presentations from leading reliability and durability practitioners are the main focus of every ARDC event. We hand-select the best presentations that directly connect attendees to the most current and pressing topics within the reliability and durability community.

The following is the program for the 2018 ARDC event:

Xiaobin Lin, SKN Technology Limited (UK)

The presentation focuses on the accelerated laboratory test validation of fatigue reliability of components and structures in the automotive product development. The presentation first introduces metal fatigue background, including failure mechanisms, and characterization of fatigue life of materials and components, along with stress-based life prediction principles. They are then followed by a brief review of typical automotive fatigue durability/reliability processes. The presentation then elaborates on the commonly used validation process of automotive components and structures, which is based on the concept of fatigue damage equivalence and the stress-strength reliability model. Finally, the presentation presents several typical applications to demonstrate the validation process.

60 mins

Blue Room

Allen Tam, Keolis Downer - Yarra Trams

This presentation discusses challenges in Data Analytics & Data Quality and offers ways of tackling data quality.

60 mins

Red Room

Cai Jianping, Goldwind Science and Technology Co.

Because corrosion causes great economic loss for offshore wind turbine, an engineering model of corrosion control for whole life cycle is given. During wind turbine development, microeconomics is used to choose the suitable corrosion control measures; during wind turbine service phase, macroeconomics is discussed to improve corrosion control strategy.

60 mins

Blue Room

Peng Wang, AECC (Aero Engine Corporation of China) CAE

A five-stage design for reliability process is introduced to illustrate how reliability engineering can be implemented during new product design, especially the prototype design. Two examples are demonstrated to show the detailed steps of DFR process: Power Plant System and Elevator Door Interlock System. For each stage of the DFR process, reliability activities, process deliverables and benefits of integrating reliability are presented. For the case of power plant system design, reliability analysis considering uncertainties associated with the model parameter is conducted. Monte Carlo simulation is used to predict the system MTBF and warranty cost. For the second case on the elevator door interlock system, accelerated life testing method is used to validate the reliabilities of key components. In the end, a detailed DFR Project Planning Checklist is provided as a general guideline to reliability practitioners.

60 mins

Red Room

Shayan Farrukh, Quality Vertex Integrated System Engineering Pvt Ltd

Maintenance planning carries immense importance in manufacturing and service sectors. Rightly planned maintenance strategy maximizes the availability of highly invested machinery assets at cost-effective rates. Replacement time of any equipment plays a major role in the operation of the plant. The benchmark of replacement time is the time specified by the manufacturer whereas the ideal time to replace the equipment is, just before the failure. Predicting the failure time is challenging because of the uncertainty involved in the equipment failure. We are proposing a scheme based on Stochastic Optimization to find the optimum time to undertake the maintenance by replacement. The proposed stochastic optimization framework depends upon the failure history of the equipment/items, losses incurred when replacement is done before the failure and losses incurred when replacement is done after the failure.

60 mins

Blue Room

Lirong Cui, Beijing Institute of Technology

60 mins

Red Room

Venkata Srikanth Sura, PETRONAS Carigali Sdn Bhd

The Oil and Gas industry has continuously increased its requirements in terms of safety and reliability performance. Together with higher market competitiveness, operators are forced to implement better management strategies for these systems in order to improve their reliability, availability, maintainability and productivity to meet those demanding and challenging environment. Operational RAM Study has been performed to simulate reliability, availability and maintainability, by using historical data to identify and quantify equipment or system that contribute to production inefficiency. This requires operational experience and know-how facilities being studied. This presentation discusses how a to apply RAM methodology to as decision tool for the management in making an informed business decision to change the operating philosophy of a 50 years old producing offshore field to suit current challenging environment.

60 mins

Blue Room

Steven Li, Western New England University

Bayesian inference has been increasingly accepted and used by industry practitioners for reliability analysis due to advanced computational capabilities as well as its advantages of dealing with limited testing data. The motivation of Bayesian inference and its pros and cons versus the frequentist statistical inference are first discussed and reviewed. Then, the presentation provides a basic and comprehensive introduction of Bayesian inference methodologies covering topics such as prior elicitation and prior distribution, sampling models, posterior inference and simulation methods. The methodological introduction of Bayesian inference is accompanied with reliability data analysis applications and case studies using various types of reliability data, (e.g., binary fail/pass data, lifetime data, and degradation data). In addition, numerical examples are also demonstrated through the commonly used statistical data analysis software of R. In summary, this presentation presents a comprehensive understanding to the basic Bayesian statistical methods, applications and examples of Bayesian reliability data analysis, and the software implementation of Bayesian reliability estimation using the open source R software.

60 mins

Red Room

Allan McNally, McNally-LLC

Bad actor programs systematically minimize repetitive costly repairs, increase uptime, and focus maintenance expenditures on items that impact plant reliability. Difficulties getting budgets approved to make the necessary improvements are a common issue faced by engineers as a result of not using the proper financial language to seal the deal. Conflict of interest is a major issue among the various engineering disciplines involved since each engineer has a goal to meet but lacks the data to support the decisions. This presentation discusses a case study emphasizing key reliability engineering principles and tools used as part of the problem solving process by presenting technical solutions translated into financial language when dealing with management and decision makers helping engineers overcome rejections when trying to eliminate bad actors.

60 mins

Blue Room

Zhang Xichuan, AVIC Xi'an Flight Automatic Control Research Institute

基于产品可靠性提升的迫切需求,航空工业自控所近十年来开展了多型产品的HALT试验方法研究,有效提升了产品的健壮性和可靠性,针对目前的筛选方法已经不能适应现阶段产品发展需求的现状,在HALT研究的基础上开发了多型产品的HASS筛选方法并在多型产品生产交付过程中成功应用。

60 mins

Red Room

Huang Xianchen, FAW

作为车企,以往产品研发验证只关注的重点是产品的性能、功能和可靠性是不够的;作为用户来讲使用什么品牌可以创造最大利益为选车的依据,即汽车运输使用成本要低,利润才能高。这就要求车企既要关注产品的性能、功能、可靠性,还要关注后市场汽车运输使用成本。 在这种背景下一汽首先开展了�公路牵引汽车全寿命运输使用成本统计及分析�工作,初步掌握了汽车运输使用成本指标构成及整车性能、可靠性对汽车运输使用成本的影响,填补了行业空白。

70 mins

Blue Room

Yu Liu, University of Electronic Science and Technology of China

Selective maintenance is extensively concerned in military and industrial environments. It is able to strategically choose a subset of maintenance actions for a repairable system to achieve the maximum success of the subsequent mission(s) under limited maintenance resources. In this presentation, the basic concept and mathematical model of selective maintenance will be first introduced, and they are followed by introducing the state-of-the-art models for selective maintenance optimization under various situations for a diversity of engineered systems.

70 mins

Red Room

Yuanyuan Qi, Weichai Power

A famous entrepreneur has said that the core force of a company is the ability to comprehend and transform the requirements of customers, so how to do this work? Based on understanding the concept of quality and the spirit of national quality documents, the article states that design quality, adaptive quality and the quality of comprehending and transforming customers' requirements constitute the main body of reliability engineering. In combination with reliability cases in actual work, it analyzes and explains how to comprehend and transform the requirements of customers in further.

60 mins

Blue Room

Yan Liu, Beijing Institute of Electronic System Engineering

Due to the high integration of complex equipment, both the large number of safety influencing factors and complex logic relationship make it difficult to identify the hazard source of complex equipment. Since the empirical analysis method used in traditional weaponry is unable to take full account of the complex cross-linking relations among different parts, it is difficult to systematically and comprehensively identify the hazard source of complex equipment. This presentation illustrates that, via integrated using main logic diagram (MLD), FMEA, ESD and other methods, the hazard source of complex equipment can be identified, which provides the basis for further developing the system safety design.

60 mins

Red Room

Shaoguo Zhang, Xijing University

Reliability engineering has not been paid a lot of attention in vehicle industry. Vehicle enterprises spent the very great investment for testing equipment and testing cost, but there is much deviation on cognition for reliability engineering. The reason is that reliability is a complex system engineering including many subjects, but its specialty arrangement is inclined to management discipline in university. So reliability experts with engineering background are lacking.

60 mins

Blue Room

Wu Jian Wen, CGNPC, Suzhou Nuclear Power Research Institute

In combination with SNPI (Suzhou Nuclear Power Research Institute)'s good performance experience of equipment management at nuclear power plants within CGN group, it mainly focus on the role and application practice of component classification identification in equipment reliability management at nuclear power plants. This includes plant component classification identification, classification methods, classification consequences and application, and the component classification situations at nuclear power plants. It also includes the implementation process, as well as the application of classification achievements in PM program optimization, CCM (critical component management), aging and life extension and the establishment of component classification database and monitoring platform of critical components, and the tracking and analysis of important parameters.

60 mins

Red Room

Yu Qingkui, China Academy of Space Technology

空间辐射效应会引起航天器电子器件性能退化,带来系统故障风险。系统辐射效应风险定量分析是航天器抗辐射加固设计迫切需求的。借鉴传统的概率风险分析理论,以典型电子线路单元为对象,基于事件链进行故障建模,构建从器件单粒子翻转到系统故障的定量概率计算模型,根据器件位翻转数据,采用贝叶斯方法计算应用加固后的单粒子翻转率, 形成电子系统辐射风险矩阵,获得了各个器件单粒子翻转风险对系统整体风险的重要度排序。

60 mins

Blue Room

Miaomiao Wang, China National Nuclear Power Co., Ltd. (CNNP)

In order to improve the reliability and availability of nuclear power plant equipment during operation, the equipment must be managed scientifically, systematically and comprehensively. Establishing and developing equipment reliability management system is an important work to carry out equipment reliability management effectively. The Equipment Reliability Database for China Nuclear Power Plant (ERDB) developed by China National Nuclear Power Co., Ltd. (CNNP), is committed to applying Equipment Reliability Process Description (AP-913) recommended by INPO and WANO to the equipment reliability management of CNNP's units, and provides support for continuous optimization of equipment reliability management.

60 mins

Red Room

Julius Wang

We will discuss what we learned from a case induced by the Japan tsunami in 2011. This case helped us develop a go-fast converging approach of electronic device validation. We then extend the learning to establish a Reliability Validation Strategy and consider what to do for 3 scenarios of 1) Design Change, 2) New Technology to You, and 3) New Technology to Industry. We will discuss knowledge-based process flow and methods for each scenario, for example, Tukey 4+4 and TTF (test-to-failure) 6x2. Chinese customer travel usage indicators (like annual driving distance) of C-segment vehicles will be discussed to help solidify design validation test development.

60 mins

Blue Room

Hans Manhaeve, Ridgetop Group, Inc.

For specific subsystem reliability assessment, prognostics can help identify physical degradation to support condition-based maintenance scheduling and also to predict impending failures. An effective prognostic framework will help establish IVHM and CBM for critical systems. Sensor data combined with advanced algorithmic processing can provide on-going state-of-health (SoH) and Remaining Useful Life (RUL) estimates. The types of successfully-monitored systems include electronic, electromechanical, gear boxes, and structural. Recent developments in Internet of Things (IoT) to remotely installed sensors have expanded the capabilities of these systems. Examples will be presented spanning aerospace, oil/gas, medical and industrial equipment applications. Reductions of Operations Expense (OpEx) of 40% have been achieved through the implementation of this cost-saving technology.

60 mins

Red Room

Han Jianyu, SINOPEC Maoming Company

针对石化装置运行环境复杂、影响因素多的特点,应用序贯决策理论,对设备、系统及装置进行故障模式、失效及影响分析,找出影响装置长周期运行的关键要素;构建炼化装置长周期数据分析模型;根据长周期运行、维修费用等因素建立目标函数,利用组合优化算法寻求最优的维修策略,确定最优的维修周期和维修的故障类型组合,形成适应装置长周期的智能动态维修策略任务包,建立了动态长周期运行智能决策系统和信息平台。

60 mins

Blue Room

Julio Pulido, Nortek

This tutorial describes the steps for selecting the right life stress relationship when performing accelerated life test analysis for aluminum microchannel heat exchangers. Life Data Analysis (LDA), Design of Experiments and simulation are used to improve the knowledge when selecting the right operational environment for life testing. This approach will drive the overall detailed design of the systems as well as the test plans in a cost-effective way. The tutorial covers a Design of experiments to reduce porosity effect in brazing. The analysis are related to aluminum components testing for thermal-mechanical fatigue applications.

70 mins

TBA

Eduardo Calixto, Eduardo Calixto Consultant (ECC)

The presentation aims to describe the RAMS program throughout the railways asset life cycles considering the reliability engineering tools applied in different phases such as concept, design, manufacturing, commissioning and operation. Therefore, different methods applications such as DFMEA (Design Failure Mode and Effect Analysis), PFMEA (Process Failure Mode and Effect Analysis), FMEA (Failure Mode and Effect analysis), RAM (Reliability, availability and maintainability analysis), LDA (Lifetime Data Analysis), RCM (Reliability Centred Analysis), LCC (Life Cycle Cost), HRA (Human Reliability Analysis) and FRACAS (Failure Report and Corrective Actions System) will be discussed based on the real cases of different railway assets application concerning also the use of the ReliaSoft software applications.

60 mins

Blue Room

Wan Yuan Fan, JAC Motors

This presentation describes the verification planning process of engine reliability life, based on the failure analysis of engine parts and components, using the method of reliability target allocation to achieve the reliability of components planning, achieve the goal of reliability life validation plan. It can be used for reference for the reliability life verification of complicated mechanical systems.

60 mins

Red Room

Dang Xiangjun, Civil Aviation University of China

In past reliability work, the wire is generally considered to be a fault-free, that is to say, the failure of wire is not taken into account in reliability prediction and allocation, or its failure rate is set to zero. After a series of aviation accidents, this concept has begun to change in civil aviation. In the latest requirement of authority, manufacturers should consider the failure of wire for airworthiness certification. This study analyzed the relevant operational data and established a wire failure rate prediction model, providing a method for manufacturers to obtain its reliability data.

60 mins

Blue Room

Kun Zhang, Shanghai Robot Industry Technology Research Institute

To solve the aging law of sealing performance of nitrile butadiene rubber (NB), a mathematics model was proposed based on the correlation between mechanical performance and microscopic mechanisms. We assumed that Oxidative cross-linking and molecular chain scission were two main microscopic flaws, which could induce performance degradation of NB. The degradation trend of mechanical performance was revealed by the Kinetics model in the mixing process. Finally thermal-oxidative aging model of NB performance was developed for life evaluation. The compression set ratio data of NB was obtained by thermal-oxidative accelerated aging tests at 60, 70, 80, 90 and 100℃. The results show this model could more accurately simulate the degradation trend of compressive stress, after compared with current aging model of rubber. The modeling process associated mechanical performance with microscopic flaws is a new method for aging analysis of NB performance. Due to new way to simulating the degradation law of NB, aging life evaluation methods of all rubbers were extended.

60 mins

Red Room

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All registrations include attendance at the three-day event. Additional benefits include:

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  • Lunch and catered breaks
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Venue

Holiday Inn Shanghai Pudong

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Address

899 Dong Fang Road, Pudong New Area
Shanghai, SH 200122
+86 21 58306666

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Why Present?

At ARDC, you have the opportunity to lead a global conversation on the challenges and advancements in the engineering community. We invite practitioners in reliability, durability, quality, asset lifecycle maintenance and related engineering fields to take center stage by presenting.

Become a leader in the community while promoting your organization

Presenters are the highlight of ARDC, and their ideas ignite the conversation throughout the conference.

Seize opportunities for personal and professional development

By presenting at ARDC, you'll receive essential feedback from the audience, allowing you to strengthen and build upon your ideas.

Enjoy complimentary registration

The primary author of the presentation receives complimentary registration.

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