Results 161 to 170 of about 4,639 (235)
Multi-Algorithm Ensemble Learning Framework for Predicting the Solder Joint Reliability of Wafer-Level Packaging. [PDF]
Materials (Basel)Su Q, Chiang KN.
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Graphene-All-Around Cobalt Interconnect with a Back-End-of-Line Compatible Process. [PDF]
Nano LettKuo CY +6 more
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NOTE ON MTTF OF A PARALLEL SYSTEM
International Journal of Reliability, Quality and Safety Engineering, 2011 A parallel system with n identical units is considered, and its mean time to system failure (MTTF) is obtained when the failure time is exponential. A simple asymptotic method of computing MTTF is proposed and its approximal values are compared with the exact MTTFs when the failure time has a Weibull distribution.
TOSHIO NAKAGAWA, WON YOUNG YUN
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The MTTF and Reliability Evaluation of a PLC System
Key Engineering Materials, 2004 This paper presents the evaluation technique of the mean time to failure (MTTF) and reliability corresponding to a programmable logic controller (PLC) structures such as a single controller, a dual controller and a triple modular redundancy (TMR) controller. The failure and repair period of PLCs are surveyed, and the failure rate of each unit composing
Lee, GB, Han, ZD, Lee, JS
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MTTF of Composite Web Services
International Symposium on Parallel and Distributed Processing with Applications, 2010Although the reliability of the composition of web services has attracted much research works about it, but an important facet of it – MTTF (Meantime to Failure) has not been given enough considerations. The research presented in this paper intends to fill this gap by illustrating on an example of composite web service how the redundant system works ...
Minyi Guo, Song Guo, Hirokazu Ozaki
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Approximation of MTTF calculation of a non-stationary gamma wear process
International Journal of Systems Assurance Engineering and Management, 2011Gamma distribution is known as the most suitable distribution to model the monotonically increasing wear or deterioration. Examples of wear or deterioration can be found in many of the mechanical components, such as in wear of the bearings, corrosion or erosion wear of pump casings and impellers etc. The component wearing gradually can be considered to
Ajit Kumar Verma +2 more
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Instantaneous Mean-Time-To-Failure (MTTF) estimation for checkpoint interval computation at run time
Microelectronics Reliability, 2019 The Mean-Time-To-Failure (MTTF) is an important parameter that determines the life-time reliability of a system. It is being used in several fault-tolerant mechanisms to take a critical decision on processor/system state.
Mohamad Imran Bin Bandan +2 more
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A lifetime-aware mapping algorithm to extend MTTF of Networks-on-Chip
2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 2018 Fast aging of components has become one of the major concerns in Systems-on-Chip with further scaling of the submicron technology. This problem accelerates when combined with improper working conditions such as unbalanced components' utilization ...
Letian Huang +6 more
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MTTF Enhancement Power-C4 Bump Placement Optimization
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2019Constructing a reliable power delivery network (PDN) is increasingly challenging by further technology scaling. PDN suffers from long-term reliability threats such as electromigration (EM). EM results in permanent failures and directly affects chip lifetime and voltage stability. Loss of limited controlled collapse chip connection (C4) pads to EM makes
Somayeh Rahimipour +5 more
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General solutions for MTTF and steady-state availability of NMR systems
2014 9th International Symposium on Reconfigurable and Communication-Centric Systems-on-Chip (ReCoSoC), 2014 Voting redundancy is a well-known technique to improve the fault tolerance of digital systems. Calculation of reliability and availability is a necessary part of every fault tolerant system design. Conventional techniques, including block diagram method, are unsuccessful when there is dependent failure, repair, or standby operation in the system.
Moslem Amiri, Vaclav Prenosil
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