Internal Combustion Engine Fault Identification Based on FBG Vibration Sensor and Support Vector Machines Algorithm

Zhang, Faye; Jiang, Mingshun; Zhang, Lei; Ji, Shaobo; Sui, Qingmei; Su, Chenhui; Lv, Shanshan

doi:10.1155/2019/8469868

Cited by 8 publications

(5 citation statements)

References 25 publications

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“…Thereby, the equation ( 9) summarizes the parameters for a vibration sensor in Laplace domain. The equation ( 8) and equation (9) give information of the dynamic characteristics of the mechanical movement effects that were measured by the smart sensor. However, these equations in complement with the equations ( 6) and ( 7) are the theoretical model for the temperature and vibration measurement, which proportionate a referential criterion for the designed adaptive algorithm.…”

Section: Methodsmentioning

confidence: 99%

Modulating Functions Analysis For Wireless Data Transmission Because Of Advanced Sensors In Energy-Saving Process Of Washing

Calderón¹,

S.²,

Barriga³

et al. 2023

RE&PQJ

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The vibration measurement of flows in transient or steady-state is a very complicated task. Moreover, to correlate it with a temperature process is quite important according to get information regarding molecular kinetic energy of thermal sources (such as flow measurement used in cleaning tasks) according to achieve heating transfer information of a thermal process. However, there is a trouble concerning the transduction stage in the measurement while it is not a transducer designed algorithm as a consequence of a mathematical model, which correlates the calibration data with the theoretical model of the heating/vibration transfer. For this reason, in this research is proposed intelligent sensors/transducers, which are based on Anodic Aluminium Oxide (AAO) and a mathematical procedure of the measurement instrumentation according to adaptive coefficients in the Modulating Functions strategies analysis and getting optimal measurements. In this research is explained and analysed the temperature measurement process and the transduction process as the strict correlation of the calibration of the temperature/vibration sensor. For this reason, there were evaluated different transducers and the temperature/vibration reference for the calibration. The based on nanostructures temperature sensors are designed by specific and complex procedures according to achieve quite operation range, robustness and precision. Moreover, the transduction can be obtained through different electrical answer variables such as voltage, electrical current or capacitance and possible to send by wireless mechanisms and protocols to the main control system. Therefore, the evaluation of the designed advanced sensor performance was achieved by the vibration and temperature measurement of the water surface of a ultrasound washing machine, for which the designed sensor enhances energy-saving of the washing process.

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Section: Methodsmentioning

confidence: 99%

Modulating Functions Analysis For Wireless Data Transmission Because Of Advanced Sensors In Energy-Saving Process Of Washing

Calderón¹,

S.²,

Barriga³

et al. 2023

RE&PQJ

View full text Add to dashboard Cite

show abstract

“…There are many temperature sensors based in passive measurement such as thermocouples and thermistors, which proportionate the correlation of temperature in electrical equivalence of voltage and electrical resistance respectively, by other side, there are different piezoelectric to measure the vibration (frequency and amplitude) of surfaces. Nevertheless, there are tasks to measure vibration and temperature of systems that are located in intricate places and it is not suggested to use contact sensors [4][5][6][7][8][9][10][11], hence IR sensors are the appropriated solution. For example combustion motors have many components inside and the combustion process can produce vibrations in them and in all the motor.…”

Section: Introductionmentioning

confidence: 99%

Perspective Chapter: Optimal Analysis for the Correlation between Vibration and Temperature through an Intelligent Sensor/Transducer Based in Amorphous Nanostructures to Measure Vibrating Surfaces Temperature

Chavarri¹,

Sotelo²,

Gamarra³

et al. 2024

Chaos Monitoring in Dynamic Systems - Analysis and Applications

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The vibration is an oscillatory movement caused by a propagation of waves through fluids or solids, and this consequence is achieved in many mechanic systems by the energy transmission between the movement source with the machine that needs the transmission movement, such as the vibration produced by a combustion engine, by a compressor system and by a result of movement transmission over rotor systems. However, if it is not a controlled mechanism to moderate the produced decibels, the main system that is affected by the vibration can reduce its performance; moreover, it can increase the surface temperature of the vibrating source and systems around. In spite of this, when it uses contact sensors to measure the vibration and temperature over the surface vibrating system, the measured data are under disturbance caused by the vibration source. Therefore, in this research is proposed an intelligent sensor/transducer based in amorphous nanostructures owing to measure the vibration of the surface through infrared (IR) emitter/receiver and the absorbance of the receiver sample has a quite range of work and robustness under disturbance of vibrating signals. This proposed sensor also has the possibility to charge energy by itself because of sun/warmth energy conversion.

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“…Therefore, the designed smart sensor has the capability to identify fuel based on hydrogen, even though the sensitivity of their transducers also can identify the presence of either oxygen or some molecules of hydrocarbons, in order to give this information to the user through wireless or wire mechanisms [1][2][3][4][5]. That information is quite important to proportionate a diagnostic of the ICM operation, as well as the presence of molecules that can cause disturbance in the optimal operation, by other side the vibration of the motor can be also considered as some kind of disturbances quite important to be studied in the ICM analysis [6,7].…”

Section: Introductionmentioning

confidence: 99%

Optimal Analysis for the Enhancement in the Thermal Variables Measurement by Smart and Modular Solid State Sensors

Alan Calderón Ch,

O. Jiménez U.,

Benjamín Barriga G.

et al. 2024

Biomedical Engineering

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The proposed research aims to analyze and optimize the measurement of thermal physical variables during the operation of a hydrogen combustion engine. The optimal measurement of the flow, temperature, pressure, and volume is given over the hydrogen, which is the main fuel of the studied combustion motor. Hence, the success of the measurement is based on the polynomial analysis of the combustion motor operation, which needs nonlinear algorithms to get the optimal correlation of the measured physical variables as well as a high robustness and short response time during the transduction of the measured physical variable, which is achieved as a consequence of the anodic aluminum oxide (AAO) amorphous nanostructures properties that are modular solid state integration of the designed smart sensor. The short response time and high robustness is a good advantage for the designed smart sensor since it gives more time to execute sophisticated algorithms in order to get the optimal physical variables measurement. In fact, the proposed smart sensor keeps the possibility to be modular and solid state for the interaction with the hydrogen fuel as well as recognizing the presence of other molecules mixed in the fluid, which can alarm the user who is able to recognize whether it is joined oxygen or carbon residues. Therefore, the proposed research work toward a good compromise to care for the environment condition based on a cleaner combustion motor operation.

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Internal Combustion Engine Fault Identification Based on FBG Vibration Sensor and Support Vector Machines Algorithm

Cited by 8 publications

References 25 publications

Modulating Functions Analysis For Wireless Data Transmission Because Of Advanced Sensors In Energy-Saving Process Of Washing

Modulating Functions Analysis For Wireless Data Transmission Because Of Advanced Sensors In Energy-Saving Process Of Washing

Perspective Chapter: Optimal Analysis for the Correlation between Vibration and Temperature through an Intelligent Sensor/Transducer Based in Amorphous Nanostructures to Measure Vibrating Surfaces Temperature

Optimal Analysis for the Enhancement in the Thermal Variables Measurement by Smart and Modular Solid State Sensors

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