Results 31 to 40 of about 2,174 (148)
Identification of fuzzy boundaries of cutter power using control chart method
Advanced Engineering Research, 2016 The body of knowledge of the intelligent control system e-MindMachine of the multi-operation machine contains each tool condition data including its remaining life time.
Andrey K. Tugengold +2 more
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A New X-Bar Control Chart for Using Neutrosophic Exponentially Weighted Moving Average
Mathematics, 2019 The existing Shewhart X-bar control charts using the exponentially weighted moving average statistic are designed under the assumption that all observations are precise, determined, and known.
Muhammad Aslam +2 more
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Comptes Rendus. Mécanique, 2020 The impedance control of an pneumatic artificial muscle for isokinetic rehabilitation applications was investigated. Due to the direct contact of rehabilitation robots with the human body, the safety and reliability of these robots are of significant ...
Chavoshian, Mahdi +2 more
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FUZZY LOGIC TEST IN DRAWING AND CALCULATING DEFECTIVE RATIO CONTROL CHARTS IN INDUSTRIES COMPANY
Mağallaẗ Al-kūfaẗ Al-handasiyyaẗFor businesses to remain competitive in the market today, the quality of their products must either be improved upon or maintained. Therefore, creating a fresh strategy that might make more use of data from the production process has turned into a ...
Salman Hussien OMRAN +4 more
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Sensitizing Rules For Fuzzy Control Charts
, 2013 Quality control charts indicate out of control conditions if any nonrandom pattern of the points is observed or any point is plotted beyond the control limits. Nonrandom patterns of Shewhart control charts are tested with sensitizing rules. When the processes are defined with fuzzy set theory, traditional sensitizing rules are insufficient for defining
N. Pekin Alakoç, A. Apaydın
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Performance Analysis and Computational Interface for
IEEE AccessQuality control, particularly through the use of control charts, has become essential in industry to ensure that processes free from special causes of variability.
Amanda Dos Santos Mendes +3 more
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Neuro- Fuzzy Statistical Process Control [PDF]
مدیریت صنعتی, 2009 Controlling a system with minimum information and regardless of dynamic equations which dominate systems is the aim of intelligent control. One of the common approaches for process control is applying Shewhart's quality control charts.
Nezamalldin Faghih, Amir Abbas Masoumi
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International Journal of Industrial Engineering and Production Research, 2016 Process capability indices (PCIs) can be used as an effective tool for measuring product quality and process performance. In classic quality control there are some limitations which prevent a deep and flexible analysis because of the crisp definition of ...
Rahebe Keshavarzi +1 more
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Fuzzy short-run control charts
Mathware & soft computing, 2007 Statistical control charts are useful tools in monitoring the state of a manufacturing process. Control charts are used to plot process data and compare it to the limits set for the process. Points plotting outside these limits indicate an out-of-control condition. Standard control charting procedures, however, are limited in that they cannot take into
Fonseca, D. J., Elam, M. E., Tibbs, L.
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