scholarly journals Data Analytics for Noise Reduction in Optical Metrology of Reflective Planar Surfaces

Machines ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 25
Author(s):  
Cody Berry ◽  
Marcos S. G. Tsuzuki ◽  
Ahmad Barari
Keyword(s):  
Noise Reduction ◽  
Optical Sensors ◽  
Data Analytics ◽  
Essential Element ◽  
Optical Metrology ◽  
Metallic Surfaces ◽  
Planar Surfaces ◽  
Coordinate Metrology ◽  
On Line ◽  
Global Statistic

On-line data collection from the manufactured parts is an essential element in Industry 4.0 to monitor the production’s health, which required strong data analytics. The optical metrology-based inspection of highly reflective parts in a production line, such as parts with metallic surfaces, is a difficult challenge. As many on-line inspection paradigms require the use of optical sensors, this reflectivity can lead to large amounts of noise, rendering the scan inaccurate. This paper discusses a method for noise reduction and removal in datapoints resulting from scanning the reflective planar surfaces. Utilizing a global statistic-based iterative approach, noise is gradually removed from the dataset at increasing percentages. The change in the standard deviation of point-plane distances is examined, and an optimal amount of noisy data is removed to reduce uncertainty in representing the workpiece. The developed algorithm provides a fast and efficient method for noise reduction in optical coordinate metrology and scanning.

Using White Light Interferometry for Mesoscale Part Inspection

2003 ◽  
Author(s):  
K. Meghan Shilling ◽  
Thomas R. Kurfess
Keyword(s):  
White Light ◽  
Three Dimensional ◽  
File Systems ◽  
Bottom Surface ◽  
White Light Interferometry ◽  
Planar Surfaces ◽  
Coordinate Metrology ◽  
Data Points ◽  
Part Inspection ◽  
Processing Techniques

Measurement of LIGA parts is critical for characterization and understanding of process variables. Traditionally, measurement using coordinate metrology consists of collecting data points from all of the surfaces of a part (e.g., three dimensional data) and comparing these points with target geometry as defined in a CAD file. Systems such as coordinate measurement machines and laser scanners are often used to collect the data. Unfortunately, three dimensional data collection has proven to be quite difficult for mesoscale parts, such as those created using the LIGA process. The inspection techniques used for larger parts cannot be used for parts of this scale because of physical limitations or poor resolution. This paper targets the use of white light interferometry for the analysis of micro-components produced using the LIGA and stereolithography processes. Both of these processes often create parts that are designed to have a constant cross section with planar top and bottom surfaces. Assuming this geometric relationship holds true, the analysis of just the top or bottom surface of the part can provide useful information pertaining to process capability and part geometry. White light interferometry is well-suited to the measurement of these planar surfaces. This paper will discuss techniques used to analyze two dimensional part parameters using white light interferometry in combination with image processing techniques. Several case studies are included to show the abilities of the measurement and processing methods.

(Invited) Development of Single-Walled Carbon Nanotube-Based Optical Sensors Via Data Analytics

2020 ◽  
Vol MA2020-01 (7) ◽  
pp. 694-694
Author(s):  
Zvi A Yaari ◽  
Mijin Kim ◽  
Yoona Yang ◽  
Chen Chen ◽  
Merav Antman-Passig ◽  
...  
Keyword(s):  
Carbon Nanotube ◽  
Optical Sensors ◽  
Data Analytics ◽  
Single Walled Carbon Nanotube ◽  
Single Walled Carbon

Field Experience With On-Line Monitoring of Biofilm Activity

2008 ◽  
Author(s):  
George J. Licina
Keyword(s):  
Oil Sands ◽  
Power Plants ◽  
Complete System ◽  
Degradation Mechanism ◽  
Water Systems ◽  
Microbiologically Influenced Corrosion ◽  
Metallic Surfaces ◽  
Pulp And Paper Mills ◽  
Paper Mills ◽  
On Line

Piping reliability is critical to oil production, oil sands processing, refineries, power plants, pulp and paper mills, and various other industries. Corrosion, including Microbiologically Influenced Corrosion (MIC), is a primary degradation mechanism in pipelines. MIC of pipeline materials has been shown to occur in virtually all water systems and has caused expensive unplanned outages, the need for local repairs, and, in some cases, complete system replacement. The control of biofilm on surfaces is the most effective tool for mitigating MIC. Effective monitoring for biofilms also helps to avoid the overuse of oxidizing biocides. Biocide overdosing will increase corrosion and can produce catastrophic corrosion effects. Optimized treatments require accurate, on-line monitoring of biofilm activity. Plant experience with an electrochemical biofilm sensor with integrated data acquisition and data analysis capabilities for monitoring biofilm activity on metallic surfaces and the use of that tool for optimizing biocide additions in a variety of environments is described.

scholarly journals Automated Transverse Crack Mapping System with Optical Sensors and Big Data Analytics

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1838
Author(s):  
Kwanghee Won ◽  
Chungwook Sim
Keyword(s):  
Big Data ◽  
Optical Sensors ◽  
Data Analytics ◽  
Crack Detection ◽  
Big Data Analytics ◽  
Sensor Data ◽  
Detection Methods ◽  
Transverse Cracks ◽  
Data Pipeline ◽  
Localization Strategy

Transverse cracks on bridge decks provide the path for chloride penetration and are the major reason for deck deterioration. For such reasons, collecting information related to the crack widths and spacing of transverse cracks are important. In this study, we focused on developing a data pipeline for automated crack detection using non-contact optical sensors. We developed a data acquisition system that is able to acquire data in a fast and simple way without obstructing traffic. Understanding that GPS is not always available and odometer sensor data can only provide relative positions along the direction of traffic, we focused on providing an alternative localization strategy only using optical sensors. In addition, to improve existing crack detection methods which mostly rely on the low-intensity and localized line-segment characteristics of cracks, we considered the direction and shape of the cracks to make our machine learning approach smarter. The proposed system may serve as a useful inspection tool for big data analytics because the system is easy to deploy and provides multiple properties of cracks. Progression of crack deterioration, if any, both in spatial and temporal scale, can be checked and compared if the system is deployed multiple times.

On-line carbon balance of yeast fermentations using miniaturized optical sensors

2012 ◽  
Vol 113 (3) ◽  
pp. 399-405 ◽  
Author(s):  
Thomas Beuermann ◽  
Dominik Egly ◽  
Daniel Geoerg ◽  
Kerris Isolde Klug ◽  
Winfried Storhas ◽  
...  
Keyword(s):  
Optical Sensors ◽  
Carbon Balance ◽  
On Line

scholarly journals Calibration of an in-situ fluorescence based sensor platform for reliable BOD5 measurement in wastewater

2021 ◽  
Author(s):  
K. Khamis ◽  
C. Bradley ◽  
H. J. Gunter ◽  
G. Basevi ◽  
R. Stevens ◽  
...  
Keyword(s):  
Optical Sensors ◽  
Wastewater Treatment Plants ◽  
Oxygen Demand ◽  
Laboratory Measurements ◽  
Fluorescence Sensors ◽  
Sensor Platform ◽  
Wastewater Quality ◽  
On Line ◽  
Lag Times

Abstract Reliance on Biochemical Oxygen Demand (BOD5) as an indicator of wastewater quality has hindered development of efficient process control due to the associated uncertainty and lag-times. Surrogate measurements have been proposed, with fluorescence spectroscopy a promising technique. Yet, assessment of in-situ fluorescence sensors across multiple Wastewater Treatment Plants (WwTPs), and at different treatment stages, is limited. In this study a multi-parameter sonde (two fluorescence peaks, turbidity, temperature and electrical conductivity) was used to provide a BOD5 surrogate measurement. The sonde was deployed at three WwTPs, on post primary settlement tanks (PST) and final effluent (FE). Triplicate laboratory measurements of BOD5, from independent laboratories were used to calibrate the sensor, with high variability apparent for FE samples. Site and process specific sensor calibrations yielded the best results (R2cv = 0.76–0.86; 10-fold cross-validation) and mean BOD5 of the three laboratory measurements improved FE calibration. When combining PST sites a reasonable calibration was still achieved (R2cv = 0.67) suggesting transfer of sensors between WwTPs may be possible. This study highlights the potential to use on-line optical sensors as robust BOD5 surrogates in WwTPs. However, careful calibration (i.e. replicated BOD5 measurements) is required for FE as laboratory measurements can be associated with high uncertainty.

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