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Item type:Publication, 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(IntechOpen, 2022-12-02)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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimization for vibration analysis in rotating machines(European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ), 2022-09-01)A not stable mechanical movement transmission between systems produces equilibrium losses, such as a rotor of motors that are coupled in rotating machines. This can be studied as a disturbance “vibration” either as characteristic of the movement transmission due to controlled displacement over rotors, which transmits the movement. Therefore, in this research is presented an analysis for an optimal control of the rotor axis displacement that includes “vibration” as the part of the movement transmission. It implies mathematical modelling and specific sensors selections to correlate the vibration in this control task. Furthermore, in order to verify the proposed analysis, it was simulated and tested in a hybrid magnetic bearing system. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Intelligent and optimal system for monitoring environmental variables and solar luminosity, with solar path tracker and telemetry(Elsevier BV, 2024-08-10)In this proposed research are analyzed general solutions and techniques to optimize the solar luminosity measurement by a designed smart system, as well as its usability by the solar energy conversion and its storing. However, many times, this kind of systems have not an optimal solar path tracker and as a consequence it can not be measured the full solar luminosity during all the day, therefore, in this work are designed optimal mathematical models and algorithms to enhance the solar path tracker according to measure solar luminosity and getting optimal solar energy conversion/storing, which is useful to study geographical conditions before to build solar energy conversion centers. As well as, in this research also is studied and suggested some techniques to get wireless data communication regarding the measured environmental variables, measured solar luminosity and stored electrical energy as a consequence of the solar energy conversion, which can be transmitted, so far away, to a central monitoring center by Radio Frequency (RF) waves. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Modulating Functions Analysis for Wireless Data Transmission Because of Advanced Sensors in Energy-Saving Process of Washing(European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ), 2023-07-01)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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, System with mobile and intelligent monitor for the study of environmental care(2025-11-21)This paper describes and proposes different engineering techniques for designing an intelligent system focused on environmental protection, based on stationary and mobile subsystems for monitoring physical variables. The variables selected for monitoring were water level, flow rate, pH, vibration, and surface water temperature, which are transmitted via radio frequency to an external monitoring center and a mobile unit. This system was designed using an optimized analysis of polynomial models to correlate each measured physical variable. Furthermore, this research also integrates the measurement subsystems through wireless data transmission between the sensors and the stationary and mobile receiving centers. This allows for the consolidation of all measured data to obtain a comprehensive view of the main target, such as a lake or river. Such bodies of water can cause serious damage in cities when adequate prevention measures are not in place, as occurs during the El Niño Southern Oscillation (ENSO) phenomenon in Peru. Therefore, this research seeks to contribute to prevention efforts through the described and designed system. A mechatronic system was designed, consisting of a drone as a mobile station data analyzer. The data collection point for the proposed monitoring center could be located at a site chosen by the community that would use the proposed system. For the experiments, prototype designs were prepared to collect the data measured by the sensors, most of which relied on nanostructures attached to the drone to measure temperature, pH, and water level. This data was processed by the drone's controller and the monitoring system. The data was collected from the Rímac River in Peru between July 2024 and September 2025, with the expectation that the proposed research will be useful to the communities during future ENSO even.3