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High-Sensitivity Non-Invasive Microwave Glucose Sensor with ZnO/CNT Composite Optimized by Deep Learning for Wearable Medical Devices. [PDF]

ACS Omega
Liu J, Yao Z, Wang Q, Zhang Q, Hou Y, Chernogor L, Kim NY, Kim ES, Li Y, Li Y.   +9 more
europepmc   +1 more source

Multi-Scale Statistical Process Monitoring in Machining

IEEE Transactions on Industrial Electronics, 2005
Most practical industrial process data contain contributions at multiple scales in time and frequency. Unfortunately, conventional statistical process control approaches often detect events at only one scale. This paper addresses a new method, called multiscale statistical process monitoring, for tool condition monitoring in a machining process, which ...
Xiaoli Li 0002, Xin Yao 0001
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Statistical process monitoring: basics and beyond

Journal of Chemometrics, 2003
AbstractThis paper provides an overview and analysis of statistical process monitoring methods for fault detection, identification and reconstruction. Several fault detection indices in the literature are analyzed and unified. Fault reconstruction for both sensor and process faults is presented which extends the traditional missing value replacement ...
S Joe Qin
exaly   +2 more sources

Robust statistical process monitoring

Computers & Chemical Engineering, 1996
Abstract Principal component analysis (PCA) is a key step to carrying out multivariate statistical process monitoring. Due to the sensitive nature of classical PCA, one or two outliers will cause misleading results. In this paper, a robust PCA via a Hybrid Projection Pursuit (HPP) approach is proposed.
J. Chen, A. Bandoni, J.A. Romagnoli
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Statistical Process Monitoring With MTConnect

ASME 2012 International Manufacturing Science and Engineering Conference, 2012
Statistical Process Control (SPC) techniques are used widely in the manufacturing industry. However, it is sometimes observed that a deviation that is within the acceptable range of inherent process variation does not necessarily conform to specifications. This is especially true in the case of low volume; high precision manufacturing that is customary
Sri Atluru, Amit Deshpande
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Batch Statistical Process Monitoring Approach to a Cocrystallization Process

Journal of Pharmaceutical Sciences, 2015
Cocrystals are defined as crystalline structures composed of two or more compounds that are solid at room temperature held together by noncovalent bonds. Their main advantages are the increase of solubility, bioavailability, permeability, stability, and at the same time retaining active pharmaceutical ingredient bioactivity.
Mafalda C, Sarraguça, Paulo R S, Ribeiro, Adenilson O, Dos Santos, João A, Lopes   +3 more
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PCA based statistical process monitoring of grinding process

IEEE ICCA 2010, 2010
Multivariate statistical process monitoring (MSPM) has received increasing attention, which is applied to improve process operations by detecting when abnormal process operations exist and diagnosing the sources of the abnormalities. This paper presents a MSPM application method on grinding processes, including principal component analysis (PCA), fault
Lin Zhang, Huangang Wang, Wenli Xu, Rui Wang, Haifeng Zhang   +4 more
openaire   +1 more source