Literatura académica sobre el tema "Process monitoring (PM)"
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Artículos de revistas sobre el tema "Process monitoring (PM)":
Burr, Tom, Michael S. Hamada, John Howell, Misha Skurikhin, Larry Ticknor y Brian Weaver. "Estimating Alarm Thresholds for Process Monitoring Data under Different Assumptions about the Data Generating Mechanism". Science and Technology of Nuclear Installations 2013 (2013): 1–18. http://dx.doi.org/10.1155/2013/705878.
Agbenyo, Fauster, Wisdom N-Yil-Yari y Bernard Affiik Akanpabadai Akanbang. "Stakeholder Perspectives on Participatory Monitoring and Evaluation in Educational Projects in Upper West Region, Ghana". Journal of Planning and Land Management 2, n.º 1 (11 de septiembre de 2021): 50–64. http://dx.doi.org/10.36005/jplm.v2i1.34.
Morita, Maiko, Ikuo Arizono, Ippei Nakase y Yasuhiko Takemoto. "Economical operation of the C pm control chart for monitoring process capability index". International Journal of Advanced Manufacturing Technology 43, n.º 3-4 (16 de septiembre de 2008): 304–11. http://dx.doi.org/10.1007/s00170-008-1703-2.
Benabbas, Aboubakr, Martin Geißelbrecht, Gabriel Martin Nikol, Lukas Mahr, Daniel Nähr, Simon Steuer, Gabriele Wiesemann, Thomas Müller, Daniela Nicklas y Thomas Wieland. "Measure particulate matter by yourself: data-quality monitoring in a citizen science project". Journal of Sensors and Sensor Systems 8, n.º 2 (5 de noviembre de 2019): 317–28. http://dx.doi.org/10.5194/jsss-8-317-2019.
Lou, Mengqi, Liguo Zhang, Feng Xie, Jianzhu Cao, Jiejuan Tong, Weirong Liu y Yong Wang. "Design of the Online Gross γ Monitoring Instrument at the Exit of the Helium Purification System in HTR-PM". Science and Technology of Nuclear Installations 2018 (1 de noviembre de 2018): 1–12. http://dx.doi.org/10.1155/2018/5808352.
Seo, SungChul, Choongki Min, Madeline Preston, Sanghoon Han, Sung-Hyuk Choi, So Young Kang y Dohyeong Kim. "Ambient PM Concentrations as a Precursor of Emergency Visits for Respiratory Complaints: Roles of Deep Learning and Multi-Point Real-Time Monitoring". Sustainability 14, n.º 5 (25 de febrero de 2022): 2703. http://dx.doi.org/10.3390/su14052703.
Stefanovic, Nenad y Dusan Stefanovic. "Supply chain performance measurement system based on scorecards and web portals". Computer Science and Information Systems 8, n.º 1 (2011): 167–92. http://dx.doi.org/10.2298/csis090608018s.
Elkhawaga, Ghada, Mervat Abuelkheir, Sherif I. Barakat, Alaa M. Riad y Manfred Reichert. "CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining". Algorithms 13, n.º 7 (3 de julio de 2020): 161. http://dx.doi.org/10.3390/a13070161.
Mei, Jiangyuan, Jian Hou, Hamid Reza Karimi y Jiarao Huang. "A Novel Data-Driven Fault Diagnosis Algorithm Using Multivariate Dynamic Time Warping Measure". Abstract and Applied Analysis 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/625814.
Carrari, Elisa, Alessandra De Marco, Andrea Laschi, Ovidiu Badea, Laurence Dalstein-Richier, Silvano Fares, Stefan Leca et al. "Economic and Life Cycle Analysis of Passive and Active Monitoring of Ozone for Forest Protection". Environments 8, n.º 10 (9 de octubre de 2021): 104. http://dx.doi.org/10.3390/environments8100104.
Tesis sobre el tema "Process monitoring (PM)":
Tuloup, Corentin. "Process and structural health monitoring of Polymer-Matrix Composites (PMC) using embedded piezoelectric transducers". Thesis, Compiègne, 2020. https://bibliotheque.utc.fr/Default/doc/SYRACUSE/2020COMP2593.
This innovative work studies the interest of integrating piezoelectric transducers (ceramic and/or polymer-based) within Polymer- Matrix Composite materials (PMC) to perform real-time and in-situ monitoring of their manufacturing process (Process Monitoring PM) as well as their lifespan (Structural Health Monitoring SHM). To do this, the piezoelectric transducers were integrated into the heart of the fibrous stacks using an innovative methodology developed within the "Materials and Surfaces" research team at the Roberval laboratory. The Liquid Resin Infusion (LRI) manufacturing system used (PM campaign), as well as the resulting samples tested mechanically (SHM campaign), were multi-instrumented using several Non-Destructive Testing devices (NDT: Acoustic Emission (AE), Infrared Thermography (IRT), Digital Image Correlation (DIC), etc.) in order to establish multi-physical couplings between the signals of external NDT techniques and the internal signature (electrical capacitance) coming from the transducers integrated into the heart of the material. In PM, the piezoceramic (PZT) transducers were found to be sensitive to the various key steps of the LRI process (flow front passing, impregnation, end of injection, chemo-physical transitions during curing and associated consolidation rates) achieved at different hardener rates, and able to detect manufacturing defects. These results showed great potential, worthy of future use on an industrial scale. In SHM, after verification of the non-intrusiveness of the ceramic and polymer-based transducers integrated into the heart of the mechanical test specimens, the polymer transducers allowed a real-time evaluation of the triaxial strain state and the rigidity loss experienced by the host PMC during its mechanical loading. However, despite a Non-Working Threshold (NWT) linked to the brittleness of their constitutive material, the piezoceramic transducers have shown a high sensitivity to the detection and monitoring of damage in real-time when they are positioned intelligently with respect to the mechanical stress. These thesis works ended with a first attempt aimed at transposing the knowledge acquired on PM and SHM of in-situ piezoelectric transducers from a 2D “laboratory” scale to a 3D structural one closer to industrial realities. The multi-instrumented manufacturing of an “Omega” stiffener PMC structure integrating 14 piezoelectric transducers (PZT and P(VDF-TrFE) copolymer) and reinforced through-the-thickness by a carbon tuft thread allowed confirming the previously evidenced PM abilities of the PZT, and showed a difference between how the electrical capacitance signals of PZT and copolymers react to the whole manufacturing process
Capítulos de libros sobre el tema "Process monitoring (PM)":
Zhang, Kai. "KPI-based PM-FD methods for static processes". En Performance Assessment for Process Monitoring and Fault Detection Methods, 61–89. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-15971-9_4.
Zhang, Kai. "KPI-based PM-FD methods for dynamic processes". En Performance Assessment for Process Monitoring and Fault Detection Methods, 109–19. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-15971-9_6.
Zhang, Kai. "KPI-based PM-FD methods for steady-state dynamic processes: Two DPLS-based methods". En Performance Assessment for Process Monitoring and Fault Detection Methods, 91–107. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-15971-9_5.
Holopainen, Riikka Maarit, Mervi Niskanen y Sari Rissanen. "Management Accounting and Profitability in Private Healthcare SMEs". En Research Anthology on Small Business Strategies for Success and Survival, 631–47. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-9155-0.ch032.
Actas de conferencias sobre el tema "Process monitoring (PM)":
Xie, Feng, Wenqian Li, Zhihui Li, Jianzhu Cao, Hong Li, Jiejuan Tong y Haitao Wang. "Design of the Process and Effluent Radiation Monitoring System of HTR-PM". En 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-61008.
Li, Wenqian, Chuan Li, Jianzhu Cao y Feng Xie. "Design of the Important Area Airborne Radioactivity Monitoring System and Calculation of the Alarm Threshold of HTR-PM". En 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-81232.
Faure, S. P., L. Mercier, P. Didier, R. Roux, J. F. Coulon, S. Garel, J. Trenit, H. Buard y F. Razan. "Laser Sintering Process Analysis: Application to Chromium-Cobalt Alloys for Dental Prosthesis Production". En ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82108.
Cluever, Joseph, Thomas Esselman y Sam Harvey. "Value-Based Bayesian Optimization of Preventive Maintenance Programs". En ASME 2018 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/pvp2018-84832.
Lou, Mengqi, Wenqian Li, Feng Xie, Jianzhu Cao, Liqiang Wei, Jiejuan Tong y Jiaji Kong. "Design of the Sampling Measurement and Radiochemistry Lab in the Nuclear Island of HTR-PM". En 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-81701.
Reid, Michael y Bernie Cook. "The Application of Smart, Connected Power Plant Assets for Enhanced Condition Monitoring and Improving Equipment Reliability". En ASME 2016 Power Conference collocated with the ASME 2016 10th International Conference on Energy Sustainability and the ASME 2016 14th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/power2016-59189.
Alexander, Chris y Joe Frey. "Use of Analytical and Experimental Monitoring Techniques in Assessing the Performance of a Cold Reheat Steam Line". En ASME 2007 Pressure Vessels and Piping Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/pvp2007-26079.
Ismail, D. "Integrated Process Safety Tools for Managing Risk of Abnormal Operations Condition in Medco E&P". En Digital Technical Conference. Indonesian Petroleum Association, 2020. http://dx.doi.org/10.29118/ipa20-f-233.
Sun, Lijian, Steven Lei, Hsuan-Tsung Hsieh, Yitung Chen y Darrell W. Pepper. "An Integrated, Near Real-Time, Web-Based Data Acquisition and Management System for Air Quality Prediction for Las Vegas Valley, Nevada". En ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42041.
Zar Soe, Thin, Anucha Leelaratsameephanit, Phanuwat Jitputti, Sayan Charoensook, Alongkorn Rodthip, Sathit Chitkla, Apichai On-Dam y Perapon Sirijitt. "The Achievement of Resource Optimisation on Lean Remote Wellhead Platform Visit with Collaborative 52 Weeks Plan". En Offshore Technology Conference Asia. OTC, 2022. http://dx.doi.org/10.4043/31426-ms.