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9762 papers found

Zsolt János Viharos, Richárd Jakab

Reinforcement Learning for Statistical Process Control in Manufacturing

The main concept of the paper is to place Reinforcement Learning (RL) into various fields of manufacturing. As a first attempt, RL for Statistical Process Control (SPC) in production is introduced in the paper; it is a promising approach owing to the adaptability and continuous application capability of reinforcement learning. The well-known Q-Table method was applied for get more stable, predictable and easy to overview results, therefore, quantization of the values of the time series to stripes was required. The formulated goal was to predict the time series value in a certain number of...

TC10 Conference 2020 (ONLINE) · TC10 · 2020 · Download
Antonio Vasilijevic, Nadir Kapetanović, Nikola Mišković

Inspection of Submerged Structures

Very common motivation for the inspection of underwater infrastructures is to measure and estimate their degradation status. Measurements required for this estimation could vary for different inspections but often include the size of the gap between the underwater structure and the seabed, between two structures or openings or cracks on the structure itself. Marine environment is very challenging for accurate spatial measurements because it is GPS-denied environment due to very high attenuation of the radio waves and because of very limited penetration of visual and laser signals, methods...

TC10 Conference 2020 (ONLINE) · TC10 · 2020 · Download
Bartosz Połok, Piotr Bilski

Diagnostics of the ratchet mechanism using the acoustic analysis

The paper presents the measurement system for the diagnostics of the ratchet mechanisms based on the acoustic signal analysis. Such mechanisms are common in such devices, as drive elements in bicycles, safe locks or socket wrenches. Their exploitation may lead to wearing out teeth in gears, which is significant in the sport bicycles. To ensure safety of their user, the mechanism’s state has to be evaluated. Based on the symptoms extracted from the audio recordings the Artificial Intelligence-based classifier can be used to detect and locate faults related with the pawl degradation....

TC10 Conference 2020 (ONLINE) · TC10 · 2020 · Download
Sergey V Muravyov, Liudmila I Khudonogova, Dai Minh Ho

Precise Measurand Value Estimating by Interval Fusion with Preference Aggregation: Heteroscedasticity Case

It is considered the problem of determination of a reference value for heteroscedastic interval data. For this aim, the newly proposed by the authors interval fusion with preference aggregation (IF&PA) procedure is used. The procedure, modified to improve the accuracy of the fusion result, is presented and applied to process the heteroscedastic data of a real experiment. The experiment consisted in determination of the reference value of DC voltage based on the readings of five different models of multimeters. For comparison, the same data were processed by the method of weighted mean. For...

TC10 Conference 2020 (ONLINE) · TC10 · 2020 · Download
Ildikó Bölkény

AI Based Detection of Gas Hydrate Formation

In the production process of natural gas one of the major problems is the formation of hydrate crystals creating hydrate plugs in the pipeline. The hydrate plugs increase production losses, because the removal of the plugs is a high cost, time consuming procedure. One of the solutions used to prevent hydrate formation is the injection of modern compositions to the gas flow, helping to dehydrate the gas. Dehydratation obviously means that the size of hydrate crystals does not increase. The substances used in low concentrations, have to be locally injected at the gas well sites. Inhibitor...

TC10 Conference 2020 (ONLINE) · TC10 · 2020 · Download
Antonella Gaspari, Emanuela Natale, Armando De Silvestri , Giulio D’Emilia

Effect Of Measurement Uncertainty On Artificial Vision Methods, For Quality Control On Composite Components

In this work, an inspection strategy by a vision system is analysed, for the identification of surface and aesthetical defects, with reference to composite components for automotive and aeronautical industrial sectors. Attention is paid to the background identification, since the specificity of the application requires particular care in order to avoid misunderstandings and false negatives during the detection phase. The evaluation of the parameters setup effects is used for the identification of the main uncertainty contributions, which is a strong support for the most suitable choice of...

TC10 Conference 2020 (ONLINE) · TC10 · 2020 · Download
Grzegorz Makarewicz, Piotr Bilski

Diagnostics of the RIAA Equalizer in a Turntable Using Artificial Neural Network

The following paper presents the methodology of RIAA equalizer condition analysis based on measurements of its amplitude and phase characteristics. The RIAA equalizer is used during the signal recording and is an integral part of modern turntables. It’s parameters determine the quality of the music being played. The task is to determine the critical values of electronic components (capacitors) based on the characteristics of signals observed at the circuit’s output. It is considered difficult due to the presence of noise, elements’ tolerances, and simultaneous drift of several system’s...

TC10 Conference 2020 (ONLINE) · TC10 · 2020 · Download
Vicki J. Barwick

Ensuring the quality of analytical measurements – current support and future challenges

Established in 1989, the aim of Eurachem is to provide a focus for analytical chemistry and qualityrelated issues in Europe. The main objectives are establishing a system for the international traceability of chemical measurement results and the promotion of good quality practices. Eurachem currently has 36 member countries and is effectively a ‘network of networks’. A requirement of membership is the establishment of a national Eurachem network which supports the dissemination of Eurachem’s aims and outputs. Eurachem also has liaison arrangements with a number of European and international...

TC10 Conference 2020 (ONLINE) · TC10 · 2020 · Download
Yukio Hiranaka, Koichi Tsujino

VAE Deviation for Detecting Bearing Anomalies

Anomaly of rotating machines are usually inferred from vibration measurements. However, it is not easy to determine the normal range for conventional crest factor or primary component analysis. In this paper, we try to use the Artificial Neural Network technique to make judgments based on the degree of deviation from the learned normal range. Specifically, we evaluated VAE which compresses the measured sensor data into the latent space of smaller number of dimensions with standard normal distributions. We propose an anomaly score which indicates the deviation from the center of the normal...

TC10 Conference 2020 (ONLINE) · TC10 · 2020 · Download
Somil Joshi, Girish Pathak

Testing, diagnosis and rectification of high dissipation factor in large power transformer

Power transformer are high-priced and major device in electrical power system. Their overall healthiness and operating life is primarily dependent on insulation system. Insulation system of transformer is complex electrical network comprising series and shunt capacitance. These capacitance comprises of insulating components like oil, wood, paper and pre compressed boards (PCBs). As these materials are hygroscopic and moisture prone. Hence fault identification and rectification in insulation system becomes critical. There are several methods available for accessing the power transformer...

TC10 Conference 2020 (ONLINE) · TC10 · 2020 · Download