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S.S.K. Singh, S. Abdullah, N.A.N. Mohamed
2016 Jurnal Teknologi  
The reliability assessment from the Markov process corresponded well by providing an accuracy of more than 95% when compared towards the actual sampling data.  ...  This paper presents the stochastic process for reliability assessment based on the fatigue life data under random loading for structural health monitoring of an automobile crankshaft due tofatigue failure  ...  The accuracy of the predicted reliability function is statistically correlated using the 90% boundary condition to determine the accuracy of the data obtained from the Markov process towards the actual  ... 
doi:10.11113/jt.v78.9194 fatcat:zauivy765reg3pvf3bm7f2xxcu

Student Metacognitive Monitoring: Predicting Test Achievement from Judgment Accuracy

Alfred Joseph Valdez
2013 International Journal of Higher Education  
This study investigated the reliability and the predictive validity of one measure of metacognitive monitoring, absolute accuracy.  ...  Metacognitive monitoring processes have been shown to be critical determinants of human learning.  ...  Metacognition consists of monitoring processes (Nelson & Narens, 1990) and control processes (McCormick, 2003; Nelson & Narens, 1990; Schraw & Moshman, 1995) .  ... 
doi:10.5430/ijhe.v2n2p141 fatcat:ergq72qsgrcmtpm7wjaiochecu

Predictive Business Process Monitoring Considering Reliability Estimates [chapter]

Andreas Metzger, Felix Föcker
2017 Lecture Notes in Computer Science  
Predictive business process monitoring aims at predicting potential problems during process execution so that these problems can be proactively managed and mitigated.  ...  However, we lack empirical evidence to support this intuition, as research on predictive business process monitoring focused on aggregate prediction accuracy.  ...  Research leading to these results has received funding from the EFRE co-financed operational program NRW.Ziel2 under grant agreement 005-1010-0012 (LoFIP -Cockpits for Operational Management of Transport Processes  ... 
doi:10.1007/978-3-319-59536-8_28 fatcat:wdapzvmornfwrndievy37yil6i

Dynamic reliability analysis tool for ship machinery maintenance [chapter]

K Dikis, I Lazakis, G Theotokatos
2015 Towards Green Marine Technology and Transport  
Dikis, K. and Lazakis, I. and Theotokatos, G. (2015) Dynamic reliability analysis tool for ship machinery maintenance. In: Towards Green Marine Technology and Transport.  ...  Vibration Monitoring Vibration measurement is a key element in predictive maintenance.  ...  The presented outcomes show the working state reliability performance in five predicted time slices.  ... 
doi:10.1201/b18855-81 fatcat:tsup45wyabaqzirspdylhqns2u

Special issue on emerging technologies for the management of diabetes mellitus

Konstantia Zarkogianni, Konstantina S. Nikita
2015 Medical and Biological Engineering and Computing  
The presented results demonstrate SOM's superiority and justify the need to apply sophisticated modeling techniques toward the development of reliable personalized glucose prediction models.  ...  and can provide the basis toward the development of new reliable CGM sensor error models to be incorporated into glucose predictors and virtual environments for testing closed-loop glucose controllers  ... 
doi:10.1007/s11517-015-1422-4 pmid:26612137 fatcat:w4ezqisdlng5jabjedc6dywvmu

Beyond intelligent manufacturing: A new generation of flexible intelligent NC machines

S. Mekid, P. Pruschek, J. Hernandez
2009 Mechanism and Machine Theory  
New routes philosophy of possible machine architecture with characteristics such as hybrid processes with in-process inspection and self-healing will be presented with great features as well as challenges  ...  , workpiece, tool and machining process condition, leading to an increased machine reliability towards zero defects, together with higher productivity and efficiency.  ...  (c) Process control loop: development and CNC integration of robust and reliable real-time strategies for the in-process tool, part, and process condition monitoring and control.  ... 
doi:10.1016/j.mechmachtheory.2008.03.006 fatcat:f6qggnl5lrbzdet3v55vhscnga

Toward Reliable Power Electronics: Challenges, Design Tools, and Opportunities

Huai Wang, Marco Liserre, Frede Blaabjerg
2013 IEEE Industrial Electronics Magazine  
The major opportunities toward more reliable power electronics are addressed.  ...  robustness in power electronic products during each development process; accelerated testing and condition monitoring to perform robustness validation and ensure reliable field operation.  ... 
doi:10.1109/mie.2013.2252958 fatcat:lftzrm7firfcrd4drmmf7evetq

Proactive Process Adaptation Using Deep Learning Ensembles [chapter]

Andreas Metzger, Adrian Neubauer, Philipp Bohn, Klaus Pohl
2019 Lecture Notes in Computer Science  
To address this tradeoff, we use an ensemble of deep learning models that can produce predictions at arbitrary points during process execution and that provides reliability estimates for each prediction  ...  We use these reliability estimates to dynamically determine the earliest prediction with sufficient accuracy, which is used as basis for proactive adaptation.  ...  Proactive process adaptation relies on predictive process monitoring to predict potential problems.  ... 
doi:10.1007/978-3-030-21290-2_34 fatcat:nm5mjfeq7zerpmo3qtfrdzolui

Page 195 of Manufacturing Engineering Vol. 45, Issue 4 [page]

1960 Manufacturing Engineering  
to reliability such predictions and the third part outlines some of the uses of reliability analysis, predictions in operations maintenance, design and value engi- neering.  ...  Presented at the Sum mer Meeting of the Society of Automotive Engi neers, Inc., 485 Lexington Ave., New York 17 N.Y ~.2 2 Reliability Prediction \ basic form of reliability prediction is stress analysis  ... 

SMILE: Smart Monitoring IoT Learning Ecosystem

Roberta Avanzato, Francesco Beritelli, Francesco Di Franco, Michele Russo
2020 International Journal on Advanced Science, Engineering and Information Technology  
The classic cause-effect association process in the field of industrial monitoring requires thorough understanding of the monitored ecosystem and the main characteristics triggering the detected anomalies  ...  Thanks to an unsupervised approach the SMILE platform can understand which the linear and non-linear correlations are representing the overall state of the system to predict and, therefore, report abnormal  ...  All this will allow moving towards a model of the process-independent monitoring and prescriptive analysis as a service. II. MATERIAL AND METHODS A.  ... 
doi:10.18517/ijaseit.10.1.11144 fatcat:fgsr5p7ky5ecpdjh4pn4mheucy

Predictive Processing, Source Monitoring, and Psychosis

Juliet D. Griffin, Paul C. Fletcher
2017 Annual Review of Clinical Psychology  
We propose that the predictive processing framework has much to offer in this respect.  ...  Crucially, we see little conflict between source monitoring theories and predictive coding.  ...  The predictive processing framework is geared towards understanding lower level processes that could account for source monitoring capacities and the specific nature of their derangement in psychotic illness  ... 
doi:10.1146/annurev-clinpsy-032816-045145 pmid:28375719 pmcid:PMC5424073 fatcat:764juqzl5veylpeovf467vxjpi

A Statistical Process Control to Monitor the Software Quality

D. Haritha, R. Satya Prasad
2013 International Journal of Computer Applications  
In this paper Time domain failure data is applied to Statistical Process Control(SPC) method to monitor the quality of a software system.  ...  We propose a Statistical Control Method over the cumulative quantity between observations of time domain failure data using mean value function of an Non Homogeneous Poisson Process(NHPP) based Logarithmic  ...  MONITORING FAILURE INTENSITY Software process control requires periodic monitoring of the progress being made towards attaining the quality. Three parameters viz.  ... 
doi:10.5120/10128-4911 fatcat:vtxrclokjrarvj4jb5xtrltupu

Analytical Modelling of Power Efficient Reliable Operation of Data Fusion in Wireless Sensor Network

Jayasri B. S., G. Raghavendra Rao
2018 International Journal of Electrical and Computer Engineering (IJECE)  
The complete process is emphasized during data fusion stage to ensure data quality too.  ...  good reliable operation in comparison to existing system.  ...  Studies towards reliability-based methods are not found to ensure any form of predictive-based analysis without using any form of iterative-based conventional methods. c.  ... 
doi:10.11591/ijece.v8i6.pp4637-4645 fatcat:w264v252wzemjoimozfcggvu5q

A novel predictive optimization scheme for energy-efficient reliable operation of a sensor in dynamic scenarios

Jayasri B.S, G. Raghavendra Rao
2020 International Journal of Electrical and Computer Engineering (IJECE)  
Therefore, the prime goal of the proposed study is to present a novel predictive optimization approach of data fusion in order to jointly address the problems associated with energy efficiency and reliable  ...  Wireless Sensor Network (WSN) has been studied for more than a decades that resulted in evolution of the significant applications towards assisting in sensing physical information from human inaccesible  ...  Reliability factor of energy-efficient node operation is highly essential for some of the sensor applications e.g. healthcare monitoring, natural calamities monitoring, chemical plant monitoring, etc.,  ... 
doi:10.11591/ijece.v10i1.pp323-332 fatcat:sxvk57yaxndf7hw53f3p5angkm

E-Prognostics: A Step towards E-Maintenance of Engineering Assets

Abrar Haider, Andy Koronios
2006 Journal of Theoretical and Applied Electronic Commerce Research  
Reliability of manufacturing or production processes is heavily dependent upon the flawless operation of asset plant and equipment utilised in the processes.  ...  An essential requirement in this regard is the continuous availability of the condition monitoring information and its analyses in order to predict failure conditions as soon as the asset starts deviating  ...  Abrar Haider Andy Koronios E-Prognostics: A step towards E-Maintenance of Engineering Assets Acknowledgements This paper is a part of the research conducted for the project "IT Enabled Asset Management  ... 
doi:10.3390/jtaer1010005 fatcat:juq5mazh5zcazeqotmo2psqpae
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