Cheypoca, Thepjit

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Using a Smartphone to Assist in Physical Therapy
(2021-04-01)
Cheypoca, Thepjit
;
Anuntahirunrat, Kongsak
In this paper, the use of accelerometer, gyroscope, magnetometer and GPS. A basic sensors available on smartphones, in the treatment of paresis symptoms, patients as a way of encouraging physical therapy on their own without having to travel to the hospital. And it is a burden to doctors and physiotherapists, making it possible to serve a large number of patients will explored. It also provides therapeutic information to improve individual physical activity. A smartphone that attached to the patient at a given location.It sends values from sensors to databases in the cloud. The data provided by the database will analyze and diagnosed by doctors and physiotherapists.
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Apply PLC to Control 3-Axis Machines
(2025-01-01)
Cheypoca, Thepjit
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Thaiyai, In
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Maneerat, Noppadol
;
Narkthewan, Athasart
This report presents a method of using PLC (Programable Logic Control) to control the work instead of the 3-Axis machine position controller. PLC is popularly used in various types of control systems. It has a lot of control capabilities, is efficient, stable, durable, easy to use, and cheap. It is the use of commands to control the work of all 3 axes, 2 axes, and 1 axle. The commands used for moving in both straight lines and curves, and there are other devices that need to be controlled together with the machine that is being controlled.
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Partial Discharge Classification with Transformer Neural Networks
(2024-01-01)
Cheypoca, Thepjit
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Promphanich, Wiboon
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Thway, Aung Ye
;
Hankae, Angelina Phimpissada
;
Jeenmuang, Siwakorn
This paper introduces an approach with the Transformer Neural Networks model for partial discharge patterns classification, that consists of corona discharge, internal discharge and surface discharge. The PD measuring circuit suggested in IEC 60270:2000 is used to record Partial discharge signals. Independent parameters such as phase and charge of PD patterns were recorded. The phase value will be encoded into the charge array and Transformer Neural Network is constructed using Positional Embedding and Transformer Encoder Layer. 80% of the recorded data will be used as a training data and 20% recorded data was used for testing of the classification models. Impacts of neuron numbers and network architecture on the PD classification performance will be observed
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Linear Interpolation Using Siemens S7-1200
(2025-01-01)
Maneerat, Noppadol
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Wongworrada, Tharathorn
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Cheypoca, Thepjit
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Sepsirisuk, Kasemsuk
This research is a continuation of the research on circular interpolation use siemens s7-1200 [1] It presents the movement of 3 axes, $x y z$, as a method of moving in a curve that is controlled by programmable logic control (PLC). In the future research, PLC will be used to control linear movement straightly. The work will be in the original format, but change the equation used to move in a straight line instead.
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Partial Discharge Classification With 1D Convolutional Neural Network
(2024-01-01)
Cheypoca, Thepjit
;
Promphanich, Wiboon
;
Thway, Aung Ye
;
Hankae, Angelina Phimpissada
;
Jeenmuang, Siwakorn
This paper introduces a novel approach for classifying with the 1D Convolutional Neural Network model for partial discharge patterns, that consists of corona discharge, surface discharge and internal discharge. The PD measuring circuit suggested in IEC 60270:2000 is used to record Partial discharge signals. Independent parameters such as phase and charge of PD patterns were recorded. The Artificial Neural Network for the classification model was constructed. Moreover, 2×1D CNN feature extraction was utilized to reduce the curse of dimensionality in the dense layer of the proposed PD classification model. 80% of the recorded data will be used as a training data and 20% recorded data was used for testing of the classification models. Impacts of neuron numbers and network architecture on the PD classification performance will be observed.
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Circular Interpolation using Siemens S7-1200
(2023-01-01)
Cheypoca, Thepjit
;
Luanpol, Amata
;
Wuti, Virot
This article proposes a way to control the movement of the step motor drive to control the movement of the 3 axes using a programmable logic controller (PLC) working instead of a numerical controller (NC). The workpiece can be milled the way it is needed, but the ability to control peripherals is limited, as it is a specific control system used to move the desired position. But the limitation of smaller PLC is that there is no order used to move directly as a curve, so a higher level of PLC is required, so smaller PLC are used to program curves with circular interpolation methods [1] to enable the use of curved motion.
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Using an android devices as mobile extensible HMIs
(2020-07-01)
Cheypoca, Thepjit
;
Anuntahirunrat, Kongsuk
In this paper, an android application monitoring and control with programmable logic controller (PLC) system is proposed, which helps the production engineer self-correct the system without restriction of time and place. The proposed android application consists of smart phone, access point and PLC Siemens S7-1200. The feasibility of this method is illustrated by experimental using different parameter databases. Recognition results show this approach is efficient.

Cheypoca, Thepjit

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