New approach for the QCM sensors characterization

Casteleiro‐Roca, José‐Luis; Calvo-Rolle, José Luís; Meizoso-López, María-Carmen; Piñón-Pazos, A.; Gómez, Benigno Antonio Rodríguez

doi:10.1016/j.sna.2013.12.002

Cited by 39 publications

(27 citation statements)

References 26 publications

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“…The monitoring task differs a lot depending on the system. For example, a use of QCM [15] to control the oil degradation is explained in [9]. Other papers like [8] and [23] use the vibration analysis to monitor a self-levitating bearing.…”

Section: Fault Detectionmentioning

confidence: 99%

An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

Casteleiro‐Roca

Quintián

Calvo-Rolle

et al. 2016

Journal of Applied Logic

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The heat pump with geothermal exchanger is one of the best methods to heat up a building. The heat exchanger is an element with high probability of failure due to the fact that it is an outside construction and also due to its size. In the present study, a novel intelligent system was designed to detect faults on this type of heating equipment. The novel approach has been successfully empirically tested under a real dataset obtained during measurements of one year. It was based on classification techniques with the aim of detecting failures in real time. Then, the model was validated and verified over the building; it obtained good results in all the operating conditions ranges.

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Section: Fault Detectionmentioning

confidence: 99%

An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

Casteleiro‐Roca

Quintián

Calvo-Rolle

et al. 2016

Journal of Applied Logic

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“…Polynomial Regression Usually, a polynomial regression model [33][34][35][36] could also be defined as a linear summation of basis functions. The quantity of basis functions depends on the number of inputs of the system, and the degree of the employed polynomial.…”

Section: Support Vector Regression (Svr) Least Square Support Vectormentioning

confidence: 99%

Modeling the Electromyogram (EMG) of Patients Undergoing Anesthesia During Surgery

Casteleiro‐Roca

Pérez

Piñón-Pazos

et al. 2015

Advances in Intelligent Systems and Computing

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All fields of science have advanced and still advance significantly. One of the facts that contributes positively is the synergy between areas. In this case, the present research shows the Electromyogram (EMG) modeling of patients undergoing to anesthesia during surgery. With the aim of predicting the patient EMG signal, a model that allows to know its performance from the Bispectral Index (BIS) and the Propofol infusion rate has been developed. The proposal has been achieved by using clustering combined with regression techniques and using a real dataset obtained from patients undergoing to anesthesia during surgeries. Finally, the created model has been tested with very satisfactory results.

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“…Various sort of electronic tongue sensor have been developed including Quartz Crystal Microbalance sensor (QCM). 2 QCM sensor is made of AT-cut quartz crystal pieces. There are electrodes on the upper and lower sides of the sensor as well as holders that connect it to the processor.…”

Section: Introductionmentioning

confidence: 99%

“…Oscillation frequency on the sensor is calculated by the frequency counter through the electric field. 2 QCM sensors utilize the change in oscillation frequency value to determine the change in mass substance. This is shown in the Sauerbrey equation as follows 3 :…”

Section: Introductionmentioning

confidence: 99%

QCM SENSOR SENSITIVITY ANALYSIS OF SILVER ELECTRODES COATED WITH LIPID MEMBRANE OLEYL ALCOHOL TOWARD NaCl AND HCl

Ummah

Tazi

Muthmainnah

2019

Jurnal Fisika dan Aplikasinya

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<p>One of the sensors, which is currently being developed is the QCM sensor. The QCM sensor is a sensor that utilizes the frequency change to detect a change in mass due to a test substance. The use of a QCM sensor includes other forms of electronic tongue sensor that can distinguish five basic flavours on the tongue. QCM sensor can also be varied electrodes using various lipid membranes such as electronic tongues to increase sensor sensitivity. This research aims to determine the sensitivity of the QCM sensor before and after coated with the lipid membrane to NaCl and HCl. The sensitivity of the QCM sensor to NaCl is 1.47 Hz/M for uncoated sensor and 0.63 Hz/M for coated sensor, while the sensitivity of HCl is 4.55 Hz/M for uncoated sensor and 4.93 Hz/M for coated sensor. The difference of the results is caused by the nature of ionization of the compound and the amount of concentration used. The result of the sensitivity research shows that the QCM sensor with Oleyl Alcohol lipid membrane is more sensitive to HCl than NaCl.</p>

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New approach for the QCM sensors characterization

Cited by 39 publications

References 26 publications

An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

Modeling the Electromyogram (EMG) of Patients Undergoing Anesthesia During Surgery

QCM SENSOR SENSITIVITY ANALYSIS OF SILVER ELECTRODES COATED WITH LIPID MEMBRANE OLEYL ALCOHOL TOWARD NaCl AND HCl

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