| 1. |
- Capriglione, D., et al.
(författare)
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Characterization of inertial measurement units under environmental stress screening
- 2020
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Ingår i: Proceedings. - : Institute of Electrical and Electronics Engineers Inc.. - 9781728144603
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Konferensbidrag (refereegranskat)abstract
- Nowadays, the Micro Electro-Mechanical Systems (MEMS) are widely employed in both consumer and industrial applications. One of the most important fields adopting MEMS device is the inertial measurement sector where this kind of technology is employed to produce Inertial Measurement Unit (IMU) that are typically composed by a triaxial accelerometer, a triaxial gyroscope, and a triaxial magnetometer. The growth of the MEMS is due to their small dimension and cost, challenges that enable their use in several applications belonging from Industry 4.0 to automotive and aerospace. However, all these sectors have in common operating conditions characterized by wide temperatures range and vibrations of different nature. In this framework, both the scientific and technical literature seems lacks suitable measurement procedures to be applied for testing the reliability of such kind of devices under environmental stress. So, this paper proposes a test procedure for Environmental Stress Screening (ESS) to determine any mechanical and electrical weakness or early degradation in a MEMS-based inertial measurement unit, when subjected to mechanical vibration and thermal cycling temperature tests. © 2020 IEEE.
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| 2. |
- Carratú, Marco, et al.
(författare)
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A novel IVS procedure for handling Big Data with Artificial Neural Networks
- 2020
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Ingår i: 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). - : IEEE. - 9781728144603
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Konferensbidrag (refereegranskat)abstract
- In recent times, thanks to the availability of a large quantity of data coming from the industrial process, several techniques based on a data-driven approach could be developed. Between all the data-driven techniques, as Principle Component Regression, Support Vector Machines, Artificial Neural Networks, Neuro-Fuzzy Systems, and many others, the data on which they rely should be analyzed to find correlations and dependencies that could improve their design. For this reason, the Input variable Selection (IVS) process has become of great interest in the recent period. The classical IVS relies on classical statistics, as Pearson coefficients, able to discover linear dependencies among data; today, due to the significant amount of data available, the challenge of also discovering non-linear dependencies appears to be a necessary skill, mainly for the design and development of a neural network. This paper proposes the use of a novel statistical tool named Maximal Information Coefficient (MIC) for developing an IVS procedure able to discover dependencies in a considerable dataset and guide the IVS designer to the selection of input variables in a data-driven application. As a case study, the procedure will be applied to a real application developed in the context of the Swedish forest industry, in order to choose the input variables of a neural network able to estimate the timber bundles volume, which represents an expensive parameter to measure in this context.
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| 3. |
- Carratu, M., et al.
(författare)
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Image based similarity detection in mechanical registers
- 2020
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Ingår i: Proceedings. - : Institute of Electrical and Electronics Engineers Inc.. - 9781728144603
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Konferensbidrag (refereegranskat)abstract
- Water leakage detection at the household level is going to become one of the most challenging goals in the fields of water metering and smart sensors. While sudden leakage seems to be easier to be noted, the small one is giving researchers a hard time. The main topic of this paper is the digital processing of mechanical register images to provide water flow rate metrics, which can allow small leakage detection. The register images are automatically gathered by an electronic add-on device, which is also featured with a short range antenna to communicate with a gateway. The image processing techniques and experimental test results are finally presented and discussed. The authors' research is funded by the European Association of National Metrology Institutes (EURAMET) within the European Metrology Program for Innovation and Research (EMPIR). © 2020 IEEE.
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| 4. |
- Depari, A., et al.
(författare)
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Simple and power efficient interface for AC-excited differential sensors
- 2020
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Ingår i: Proceedings. - : Institute of Electrical and Electronics Engineers Inc.. - 9781728144603
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Konferensbidrag (refereegranskat)abstract
- Capacitive sensors are low-cost and robust devices that can be easily scaled to very small sizes, thus making them suitable for implementation as a micro electro-mechanical system (MEMS). Differential arrangements of the sensors are also available, providing improved rejection of common mode interference. Due to their nature, an AC (sinusoidal) excitation signal is usually adopted. Various types of front-end circuits have been proposed in the past, exploiting different techniques such as conversion of capacitance to current or frequency or analog-to-digital conversion and adopting different approaches, such as full analog or full digital architectures. This paper proposes a digital and microcontroller-based system for AC-excited differential sensors aiming at minimizing cost and power needs, in sight of future large volume applications as for Internet of Things (IoT) paradigm. A proof of concept implementation has been realized and experimentally validated, obtaining a relative error in the measurand estimation on the order of 1%, when the parasitic effects can be neglected. © 2020 IEEE.
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| 5. |
- Ferrari, P., et al.
(författare)
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Evaluation of the impact of Cloud Database services on Industrial IoT Applications
- 2020
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Ingår i: Proceedings. - : Institute of Electrical and Electronics Engineers Inc.. - 9781728144603
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Konferensbidrag (refereegranskat)abstract
- The Internet of Things applied to Industry (IIoT) is one of the pillars of Industry 4.0. The connection to Internet of all the industrial devices, and the storage (sharing) of enormous amount of data inside Cloud database, enable the development of analysis algorithms for the delivery of new "high value" services. However, the industrial market may require response with short predictable latency (real-time response) even for supervision and optimization functions. Often today, the estimation of the latency of new services is not taken into account. For all these reasons, this work introduces an experimental measurement procedure for investigating the impact of Cloud database services on the communication delay from the production line to the Cloud and the way back (feedback). In this paper, a use case demonstrates the feasibility of the proposed test methodology. In details, the considered use case is a predictive maintenance system with Siemens S7 industrial automation controller sending data to a Cloudant database inside the IBM Bluemix platform. The use case results show that the IIoT solutions based on Cloud database services can be easily evaluated, compared (and optimized) thanks to the proposed approach. © 2020 IEEE.
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| 6. |
- Jiang, Meng, et al.
(författare)
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Indoor Silent Object Localization using Ambient Acoustic Noise Fingerprinting
- 2020
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Ingår i: 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). - : IEEE. - 9781728144603
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Konferensbidrag (refereegranskat)abstract
- Indoor localization has been a popular research subject in recent years. Usually, object localization using sound involves devices on the objects, acquiring data from stationary sound sources, or by localizing the objects with external sensors when the object generates sounds. Indoor localization systems using microphones have traditionally also used systems with several microphones, setting the limitations on cost efficiency and required space for the systems. In this paper, the goal is to investigate whether it is possible for a stationary system to localize a silent object in a room, with only one microphone and ambient noise as information carrier. A subtraction method has been combined with a fingerprint technique, to define and distinguish the noise absorption characteristic of the silent object in the frequency domain for different object positions. The absorption characteristics of several positions of the object is taken as comparison references, serving as fingerprints of known positions for an object. With the experiment result, the tentative idea has been verified as feasible, and noise signal based lateral localization of silent objects can be achieved.
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| 7. |
- Mendoza Montoya, Javier, et al.
(författare)
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Drone Gas Concentration Measurement System for Landfills
- 2020
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Ingår i: 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). - : IEEE. - 9781728144603 ; , s. 1-5
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Konferensbidrag (refereegranskat)abstract
- The number of landfills in Sweden is not exactly known, but the number of closed landfills containing organic waste is estimated to be between 4000 and 8000. Some of these are close to large and growing cities and are of interest to exploitation. Urban air quality affects people's health and well-being, real-time measurement and modelling of gases in the air is important for planning future cities. In this paper, we present a cost-effective method for monitoring methane and CO2 based on gas sensors mounted on an unmanned aircraft (UAV, drone). A drone-based wireless system is developed with MOS sensors (MQ2, MQ4 and TGS2611), Arduino-nano, XBee wireless communications modules and the interface to a base station's computer is written in Python. The system was tested in real field measurements with good results.
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| 8. |
- Mendoza Montoya, Jorge Javier, et al.
(författare)
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Monitoring Diabetic Ketoacidosis by Urine Ketones Tracing Using an E-Nose
- 2020
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Ingår i: 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). - : IEEE. - 9781728144603 ; , s. 1-5
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Konferensbidrag (refereegranskat)abstract
- Monitoring urine ketones can be useful for diagnosing diabetes. In this paper we present a method to detect diabetic ketoacidosis in synthetic urine samples by sniffing dimethyl ketone traces. A portable E-nose was developed using five metal oxide (MOX) gas sensors configured and controlled by eight bits microcontroller. The analog signals from gas sensors are converted to digital by the ten bits analog to digital converter (ADC) housing the microcontroller. The experiments were done on synthetic-urine dimethyl ketone dissolution with concentrations between 1 to 100 mg/dL. The results show that we can determine dimethyl concentration with a great accuracy, over 85% which demonstrate the great possibility of use this method in detection of ketoacidosis in real urine samples.
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| 9. |
- Rainer, Julio, et al.
(författare)
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Measurements of 3G and 4G signal attenuation in adobe buildings structures
- 2020
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Ingår i: 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). - 9781728144603 ; , s. 1-6
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Konferensbidrag (refereegranskat)abstract
- Fast internet access is not obvious in rural areas and when it is time to install we realize that houses are built with special materials. The properties of these materials affect the electromagnetic wave propagation in a different way than the houses in the cities. In this work, we perform an analysis of signal quality in 700-MHz and 900-MHz bands for 3G and 4G communication systems for adobe buildings. Three different adobe wall scenarios were analyzed: conventional adobe, adobe doped with salt and adobe doped with coal. Then two kind of measurements have been carried out, the first one a Network Vector Analyzer (VNA) and two HyperLOG antenna were used and in the second one a Samsung S8 with the software from TEMS Pocket 16.3.7.26 was used. Wave propagation and signal quality measurements made on adobe walls provide satisfactory results showing large variation in attenuation and signal quality due to the material used in adobe.
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| 10. |
- Ugwiri, M. A., et al.
(författare)
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Edge sensor signal processing algorithms for earthquake early detection
- 2020
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Ingår i: Proceedings. - : Institute of Electrical and Electronics Engineers Inc.. - 9781728144603
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Konferensbidrag (refereegranskat)abstract
- A new earthquake early warning algorithm is proposed in this paper. Intelligent sampling technique is used to expose signal information in a way to facilitate the inference of knowledge. The goal is to assess, by observing the first few seconds of P-wave, whether the incoming earthquake is destructive or not, and to generate an alert or eventually take action. Once the proposed method has been developed, performance results obtained using real seismic data from open-access databases are presented, thereby validating the effectiveness of the proposed method in estimating seismic magnitude. Since real-time and device interoperability are critical aspects in applications such as seismic detection, the suitability and compatibility of the proposed method with the IEEE1451 family of standards are demonstrated. © 2020 IEEE.
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| 11. |
- Ugwiri, M. A., et al.
(författare)
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Vibrations measurement and current signatures for fault detection in asynchronous motor
- 2020
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Ingår i: Proceedings. - : Institute of Electrical and Electronics Engineers Inc.. - 9781728144603
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Konferensbidrag (refereegranskat)abstract
- In most industrial applications, Fault Detection (FD) is an important function. Understanding equipment's conditions help engineers and operators avoiding the inevitable catastrophe that could lead to a significate impact on system reliability and safety. For electromechanical devices such as asynchronous motors, which play an essential role in production lines, mastering vibrations for Fault Detection is interesting. Downtime, costly maintenance, and energy waste are damages resulting from faults. The paper presents an overview of different techniques used in asynchronous motors fault detection. Vibrations signals processing and techniques for extracting characteristic features from them are largely developed. Spectrum analysis of the envelope signal is employed to process vibration signals resulting from rolling bearings. The paper also proposes rotors broken bars detection using Park Transformation. It was shown that Park's transformation is an effective tool to detect broken bars even at the incipient stage, which gives to it the merit to be a complementary technique to vibration analysis. © 2020 IEEE.
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