A Holistic Solution for Reliability of 3D Parallel Systems

Monolithic 3D technology is emerging as a promising solution that can bring massive opportunities, but the gains can be hindered due to the reliability issues exaggerated by high temperature. Conventional reliability solutions focus on one specific feature and assume that the other required features would be provided by different solutions. Hence, this assumption has resulted in solutions that are proposed in isolation of each other and fail to consider the overall compatibility and the implied overheads of multiple isolated solutions for one system. This article proposes a holistic reliability management engine, R2D3, for post-Moore’s M3D parallel systems that have low yield and high failure rate. The proposed engine, comprising a controller, reconfigurable crossbars, and detection circuitry, provides concurrent single-replay detection and diagnosis, fault-mitigating repair, and aging-aware lifetime management at runtime. This holistic view enables us to create a solution that is highly effective while achieving a low overhead. Our solution achieves 96% coverage of defect; reduces V th degradation by 53%, leading to a 78% performance improvement on average over 8 years for an eight-core system; and ultimately yields a 2.16× longer mean-time-to-failure (MTTF) while incurring an overhead of 7.4% in area, 6.5% in power, and an 8.2% decrease in frequency.

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Filling machine preventive maintenance using age replacement method in PT Lucas Djaja

MATEC Web of Conferences ◽

10.1051/matecconf/201815401056 ◽

2018 ◽

Vol 154 ◽

pp. 01056

Author(s):

Fifi Herni Mustofa ◽

Ria Ferdian Utomo ◽

Kusmaningrum Soemadi

Keyword(s):

Maintenance Cost ◽

Time To Failure ◽

High Failure Rate ◽

Corrective Maintenance ◽

Replacement Method ◽

Critical Components ◽

Age Replacement ◽

Engine Maintenance ◽

A Company ◽

Mean Time

PT Lucas Djaja is a company engaged in the pharmaceutical industry which produce sterile drugs and non-sterile. Filling machine has a high failure rate and expensive corrective maintenance cost. PT Lucas Djaja has a policy to perform engine maintenance by way of corrective maintenance. The study focused on the critical components, namely bearing R2, bearing 625 and bearing 626. When the replacement of the failure done by the company is currently using the formula mean time to failure with the result of bearing R2 at point 165 days, bearing 625 at a point 205 days, and bearing 626 at a point 182 days. Solutions generated by using age replacement method with minimization of total maintenance cost given on the bearing R2 at a point 60 days, bearing 625 at the point of 80 days and bearing 626 at a point 40 days.

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Reliability Analysis of Random Fuzzy Unrepairable Systems

Discrete Dynamics in Nature and Society ◽

10.1155/2014/625985 ◽

2014 ◽

Vol 2014 ◽

pp. 1-15 ◽

Cited By ~ 2

Author(s):

Ying Liu ◽

Xiaozhong Li ◽

Jianbin Li

Keyword(s):

Mathematical Models ◽

Parallel Systems ◽

Time To Failure ◽

Numerical Examples ◽

Fuzzy Variables ◽

Cold Standby ◽

Random Fuzzy Variables ◽

Lamp System ◽

Series Systems ◽

Mean Time

The lifetimes of components in unrepairable systems are considered as random fuzzy variables since randomness and fuzziness are often merged with each other. Then we establish the fundamental mathematical models of random fuzzy unrepairable systems, including series systems, parallel systems, series-parallel systems, parallel-series systems, and cold standby systems with absolutely reliable conversion switches. Furthermore, the expressions of reliability and mean time to failure (MTTF) are given for the above five random fuzzy unrepairable systems, respectively. Finally, numerical examples are given to show the application in a lighting lamp system and a hi-fi system.

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The Optimal System for Complex Series-Parallel Systems with Cold Standby Units: A Comparative Analysis Approach

Practical Applications in Reliability Engineering ◽

10.5772/intechopen.95274 ◽

2021 ◽

Author(s):

Ibrahim Yusuf ◽

Ismail Muhammad Musa

Keyword(s):

Parallel Systems ◽

Optimal Configuration ◽

Profit Function ◽

Time To Failure ◽

Mean Time To Failure ◽

Reliability Models ◽

System Parameters ◽

Cost Benefits ◽

Cold Standby ◽

Mean Time

The purpose of this research is to propose three reliability models (configurations) with standby units and to study the optimum configuration between configurations analytically and numerically. The chapter considered the need for 60 MW generators in three different configurations. Configuration 1 has four 15 MW primary units, two 15 MW cold standby units and one 30 MW cold standby unit; Configuration 2 has three 20 MW primary units, three 20 cold standby units; Configuration 3 has two 30 MW primary units and three 30 MW cold standby units. Some reliability features of series–parallel systems under minor and complete failure were studied and contrasted by the current. Failure and repair time of all units is assumed to be exponentially distributed. Explanatory expressions for system characteristics such as system availability, mean time to failure (MTTF), profit function and cost benefits for all configurations have been obtained and validated by performing numerical experiments. Analysis of the effect of different system parameters on the function of profit and availability has been carried out. Analytical comparisons presented in terms of availability, mean time to failure, profit function and cost benefits have shown that configuration 3 is the optimal configuration. This is supported by numerical examples in contrast to some studies where the optimal configuration of the system is not uniform as it depends on some system parameters. Graphs and sensitivity analysis presented reveal the analytical results and accomplish that Configuration 3 is the optimal in terms of design, reliability physiognomies such as availability of the system, mean time to failure, profit and cost benefit. The study is beneficial to engineers, system designers, reliability personnel, maintenance managers, etc.

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Surveillance System in Smart Cities: A Dependability Evaluation Based on Stochastic Models

Electronics ◽

10.3390/electronics10080876 ◽

2021 ◽

Vol 10 (8) ◽

pp. 876

Author(s):

Igor Gonçalves ◽

Laécio Rodrigues ◽

Francisco Airton Silva ◽

Tuan Anh Nguyen ◽

Dugki Min ◽

...

Keyword(s):

Surveillance System ◽

Smart Cities ◽

Heterogeneous Data ◽

Time To Failure ◽

Video Streams ◽

Dependability Evaluation ◽

The Mean ◽

Mean Time ◽

The Internet Of Things

Surveillance monitoring systems are highly necessary, aiming to prevent many social problems in smart cities. The internet of things (IoT) nowadays offers a variety of technologies to capture and process massive and heterogeneous data. Due to the fact that (i) advanced analyses of video streams are performed on powerful recording devices; while (ii) surveillance monitoring services require high availability levels in the way that the service must remain connected, for example, to a connection network that offers higher speed than conventional connections; and that (iii) the trust-worthy dependability of a surveillance system depends on various factors, it is not easy to identify which components/devices in a system architecture have the most impact on the dependability for a specific surveillance system in smart cities. In this paper, we developed stochastic Petri net models for a surveillance monitoring system with regard to varying several parameters to obtain the highest dependability. Two main metrics of interest in the dependability of a surveillance system including reliability and availability were analyzed in a comprehensive manner. The analysis results show that the variation in the number of long-term evolution (LTE)-based stations contributes to a number of nines (#9s) increase in availability. The obtained results show that the variation of the mean time to failure (MTTF) of surveillance cameras exposes a high impact on the reliability of the system. The findings of this work have the potential of assisting system architects in planning more optimized systems in this field based on the proposed models.

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On classes of life distributions based on the mean time to failure function

Journal of Applied Probability ◽

10.1017/jpr.2020.91 ◽

2021 ◽

Vol 58 (2) ◽

pp. 289-313

Author(s):

Ruhul Ali Khan ◽

Dhrubasish Bhattacharyya ◽

Murari Mitra

Keyword(s):

Damage Model ◽

Replacement Policy ◽

Time To Failure ◽

Mean Time To Failure ◽

Moment Convergence ◽

Life Distributions ◽

Cumulative Damage Model ◽

The Mean ◽

Age Replacement ◽

Mean Time

AbstractThe performance and effectiveness of an age replacement policy can be assessed by its mean time to failure (MTTF) function. We develop shock model theory in different scenarios for classes of life distributions based on the MTTF function where the probabilities $\bar{P}_k$ of surviving the first k shocks are assumed to have discrete DMTTF, IMTTF and IDMTTF properties. The cumulative damage model of A-Hameed and Proschan [1] is studied in this context and analogous results are established. Weak convergence and moment convergence issues within the IDMTTF class of life distributions are explored. The preservation of the IDMTTF property under some basic reliability operations is also investigated. Finally we show that the intersection of IDMRL and IDMTTF classes contains the BFR family and establish results outlining the positions of various non-monotonic ageing classes in the hierarchy.

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Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting

Sensors ◽

10.3390/s21020432 ◽

2021 ◽

Vol 21 (2) ◽

pp. 432

Author(s):

Guenther Retscher ◽

Alexander Leb

Keyword(s):

Performance Improvement ◽

Low Cost ◽

Information Service ◽

Raspberry Pi ◽

University Library ◽

Stop And Go ◽

Promising Solution ◽

Localization Performance ◽

The University ◽

Suitable Location

A guidance and information service for a University library based on Wi-Fi signals using fingerprinting as chosen localization method is under development at TU Wien. After a thorough survey of suitable location technologies for the application it was decided to employ mainly Wi-Fi for localization. For that purpose, the availability, performance, and usability of Wi-Fi in selected areas of the library are analyzed in a first step. These tasks include the measurement of Wi-Fi received signal strengths (RSS) of the visible access points (APs) in different areas. The measurements were carried out in different modes, such as static, kinematic and in stop-and-go mode, with six different smartphones. A dependence on the positioning and tracking modes is seen in the tests. Kinematic measurements pose much greater challenges and depend significantly on the duration of a single Wi-Fi scan. For the smartphones, the scan durations differed in the range of 2.4 to 4.1 s resulting in different accuracies for kinematic positioning, as fewer measurements along the trajectories are available for a device with longer scan duration. The investigations indicated also that the achievable localization performance is only on the few meter level due to the small number of APs of the University own Wi-Fi network deployed in the library. A promising solution for performance improvement is the foreseen usage of low-cost Raspberry Pi units serving as Wi-Fi transmitter and receiver.

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Contribution to Rolling Bearing Reliability Modeling

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.110-116.2497 ◽

2011 ◽

Vol 110-116 ◽

pp. 2497-2503 ◽

Cited By ~ 1

Author(s):

Zdenek Vintr ◽

Michal Vintr

Keyword(s):

Operating Time ◽

Rolling Bearing ◽

Time To Failure ◽

Rolling Bearings ◽

Mean Time To Failure ◽

Reliability Modeling ◽

Time Between Failures ◽

Large Groups ◽

Mean Time

Rolling bearings are usually considered to be non-repaired items the reliability of which is characterized by mean time to failure, or so called basic rating life. Reliability describes these parameters well in case the bearings are used in operation up to the very time the failure occurs, or during the time corresponding with basic rating life. In case of railway applications the bearings are often used in large groups and are preventively replaced after much shorter operating time as compared with their basic rating life. In the article there is a model which enables us to describe the bearings reliability in this specific case and to specify a number of failures which might be expected from a group of bearings during operating time, or to determine mean operating time between failures of bearings.

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A Bayesian Estimation of Reliability Measures of Stepwise Exponential Distribution System

9th Biennial Conference on Reliability, Stress Analysis, and Failure Prevention ◽

10.1115/detc1991-0005 ◽

1991 ◽

Author(s):

M. H. Hu

Keyword(s):

Bayesian Estimation ◽

Exponential Distribution ◽

Distribution System ◽

Failure Process ◽

Reliability Function ◽

Distribution Model ◽

Time To Failure ◽

Reliability Measures ◽

In Series ◽

Mean Time

Abstract This paper presents an analysis method for reliability measures of a system with step changes in failure and repair rates. Both failure and repair time have exponential function of time. Such a system is called a stepwise exponential distribution system. This kind of failure process can take place in various equipments. This paper deals with the system having components in series arrangement. Bayesian statistics is used in defining prior and posterior probability density functions of failure and repair rates. These functions provide information for the estimation of reliability measures: 1) failure and repair rates, 2) mean time to failure, 3) mean time to repair, 4) reliability function and 5) availability. A sample problem is given to illustrate the methodology. The Bayesian estimation of the stepwise exponential distribution model is useful in the planning of equipment predictive maintenance.

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