Investigations of Thermocouple Drift Irregularity Impact on Error of their Inhomogeneity Correction

Su, Jun; Кочан, Орест

doi:10.2478/msr-2014-0005

Cited by 33 publications

(22 citation statements)

References 5 publications

(3 reference statements)

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“…To compensate the temperature effect on the output of the sensor, the circuit should be modeled. This modeling can be achieved using inverse modeling of ANN [14]- [16]. For training the neural network, the standard back propagation learning algorithm was used.…”

Section: A Temperature Compensation and Testmentioning

confidence: 99%

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Field Programmable Gate Array (FPGA) Respiratory Monitoring System Using a Flow Microsensor and an Accelerometer

Mellal

Laghrouche

Bui

2017

Measurement Science Review

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This paper describes a non-invasive system for respiratory monitoring using a Micro Electro Mechanical Systems (MEMS) flow sensor and an IMU (Inertial Measurement Unit) accelerometer. The designed system is intended to be wearable and used in a hospital or at home to assist people with respiratory disorders. To ensure the accuracy of our system, we proposed a calibration method based on ANN (Artificial Neural Network) to compensate the temperature drift of the silicon flow sensor. The sigmoid activation functions used in the ANN model were computed with the CORDIC (COordinate Rotation DIgital Computer) algorithm. This algorithm was also used to estimate the tilt angle in body position. The design was implemented on reconfigurable platform FPGA.

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Section: A Temperature Compensation and Testmentioning

confidence: 99%

“…The temperature compensation methods of the silicon sensor can be divided into three methods: software, hardware, and hybrid. The software method is based on data processing and algorithms such as the ANN technique [14]- [16]. The hybrid method uses both approaches to realize the compensation.…”

Section: Introductionmentioning

confidence: 99%

Field Programmable Gate Array (FPGA) Respiratory Monitoring System Using a Flow Microsensor and an Accelerometer

Mellal

Laghrouche

Bui

2017

Measurement Science Review

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“…Many classification methods were developed in the literature [29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45]. Author selected Bayes classifier [6].…”

Section: Bayes Classifiermentioning

confidence: 99%

Recognition of Acoustic Signals of Induction Motors with the Use of MSAF10 and Bayes Classfier

Głowacz¹

2016

Archives of Metallurgy and Materials

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Condition monitoring of deterioration in the metallurgical equipment is essential for faultless operation of the metallurgical processes. These processes use various metallurgical equipment, such as induction motors or industrial furnaces. These devices operate continuously. Correct diagnosis and early detection of incipient faults allow to avoid accidents and help reducing financial loss. This paper deals with monitoring of rotor electrical faults of induction motor. A technique of recognition of acoustic signals of induction motors is presented. Three states of induction motor were analyzed. Studies were carried out for methods of data processing: Method of Selection of Amplitudes of Frequencies (MSAF10) and Bayes classifier. Condition monitoring is helpful to protect induction motors and metallurgical equipment. Further researches will allow to analyze other metallurgical equipment.

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“…It is often combined with Computer Aided Manufacturing in order to obtain fluent transition from the stage of design to the stage of production [8]. Computer Integrated Manufacturing (CIM) is a synthesis of the two previous kinds [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

The use of 3d scanner for testing changes in shape of human limbs under the influence of external mechanical load

2017

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Abstract. Three-dimensional scanning is used in many fields: medicine, architecture, industry, reverse engineering. The aim of the article was to analyze the changes in the shape of the limbs under the influence of a mechanical external load using the method of three-dimensional scanner uses white light technology. The paper presents a system of human movement, passive part -skeleton and active part -the muscles, and principles of their interaction, which results in a change of the position of the body. Furthermore, by using the 3D scan, the differences in appearance of the arm and leg depending on the size of the external load in different positions have been presented. The paper shows that with increasing load, which muscles must prevent, increases the volume of certain parts of the legs, while another parts of them will be reduced. Results of the research using three-dimensional scanner allow determining what impact on changing the legs shape has an external mechanical load.

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Investigations of Thermocouple Drift Irregularity Impact on Error of their Inhomogeneity Correction

Cited by 33 publications

References 5 publications

Field Programmable Gate Array (FPGA) Respiratory Monitoring System Using a Flow Microsensor and an Accelerometer

Field Programmable Gate Array (FPGA) Respiratory Monitoring System Using a Flow Microsensor and an Accelerometer

Recognition of Acoustic Signals of Induction Motors with the Use of MSAF10 and Bayes Classfier

The use of 3d scanner for testing changes in shape of human limbs under the influence of external mechanical load

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