196 research outputs found

    Passive low frequency RFID for non-destructive evaluation and monitoring

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    Ph. D ThesisDespite of immense research over the years, defect monitoring in harsh environmental conditions still presents notable challenges for Non-Destructive Testing and Evaluation (NDT&E) and Structural Health Monitoring (SHM). One of the substantial challenges is the inaccessibility to the metal surface due to the large stand-off distance caused by the insulation layer. The hidden nature of corrosion and defect under thick insulation in harsh environmental conditions may result in it being not noticed and ultimately leading to failures. Generally electromagnetic NDT&E techniques which are used in pipeline industries require the removal of the insulation layer or high powered expensive equipment. Along with these, other limitations in the existing techniques create opportunities for novel systems to solve the challenges caused by Corrosion under Insulation (CUI). Extending from Pulsed Eddy Current (PEC), this research proposes the development and use of passive Low Frequency (LF) RFID hardware system for the detection and monitoring of corrosion and cracks on both ferrous and non-ferrous materials at varying high temperature conditions. The passive, low cost essence of RFID makes it an enchanting technique for long term condition monitoring. The contribution of the research work can be summarised as follows: (1) implementation of novel LF RFID sensor systems and the rig platform, experimental studies validating the detection capabilities of corrosion progression samples using transient feature analysis with respect to permeability and electrical conductivity changes along with enhanced sensitivity demonstration using ferrite sheet attached to the tag; (2) defect detection using swept frequency method to study the multiple frequency behaviour and further temperature suppression using feature fusion technique; (3) inhomogeneity study on ferrous materials at varying temperature and demonstration of the potential of the RFID system; (4) use of RFID tag with ceramic filled Poly-tetra-fluoro-ethyulene (PTFE) substrate for larger applicability of the sensing system in the industry; (5) lift-off independent defect monitoring using passive sweep frequency RFID sensors and feature extraction and fusion for robustness improvement. This research concludes that passive LF RFID system can be used to detect corrosion and crack on both ferrous and non-ferrous materials and then the system can be used to compensate for temperature variation making it useful for a wider range of applications. However, significant challenges such as permanent deployment of the tags for long term monitoring at higher temperatures and much higher standoff distance, still require improvement for real-world applicability.Engineering and Physical Sciences Research Council (EPSRC) CASE, National Nuclear Laboratory (NNL)

    DIVALIITO - Smart spare parts methods and possibilities

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    DIVALIITO - Smart spare parts methods and possibilities

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    Characterizing the Migratory Phenology and Routes of the Lazuli Bunting (Passerina amoena) in Northern Utah

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    Migratory species time their movements to follow changes in food and environmental resources throughout the year. Despite the ubiquity of migration in birds, little is still known about how birds select routes and time migrations. Recent advancements in miniaturized tracking devices now allow tracking of small birds throughout their annual life cycle, presenting opportunities for migratory ecology research at scales immeasurable in the past. Here we investigated the migratory ecology of a northern Utah, USA breeding population of Lazuli Bunting, a common songbird in western North America for which few migratory studies have been completed. We sought to compare breeding site arrival and departure of male and female buntings across an elevational gradient. We used encounter records of microchip-banded individuals visiting electronic birdfeeders to estimate migratory timings of each sex at high and low elevations. We additionally tagged a subset of birds with light sensing tags from which rough daily locations can be estimated throughout the year to determine where and how the individuals migrated. We found males to arrive before females at low elevation, while no differences between sexes was found in birds arriving at high elevations. This difference questions traditionally held thoughts on why most male birds typically arrive earlier than females. Our results suggest arrival timing by sex may be driven by differences in constraints on migratory timing rather than evolutionary selection for earlier arrival by males. Our tracking data revealed that tagged individuals migrated south to western Mexico for the non-breeding season. We found little support for a mid-migration stopover long enough to complete an annual molt, as had been suggested for the species. During spring migration, we observed two distinct migratory patterns: a direct route north made by three individuals, and a looping route through California and Nevada made by two birds. The latter route was significantly longer in distance but not duration. These differences suggest routes may be selected by individuals to balance between length, duration, and food availability of migration routes based on individual conditions each bird experiences. Our results collectively highlight the importance of investigating migratory ecology at the individual level. Such investigations are necessary in understanding how individual birds migrate and are ultimately necessarily for effective conservation of birds throughout their annual cycles

    Analysis and Design of Passive Underwater Acoustic Identification Tags

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    The development of predeployed underwater infrastructures to aid in Autonomous Underwater Vehicle (AUV) navigation is of keen interest, with the increased use of AUVs for undersea operations. This work presents a class of passive underwater acoustic markers, termed Acoustic IDentification (AID) tags, which are inexpensive to construct, simple to deploy, and reflect unique, engineered acoustic signatures that can be detected by an AUV instrumented with high-frequency SOund NAvigation and Ranging (SONAR) systems. An AID tag is built of layers of materials with different acoustic properties and thicknesses such that a portion of the acoustic energy from an incident pulse from an AUV, for example, is reflected from each interface between two adjacent layers. In this manner, unique acoustic signatures can be generated, similar to an optical barcode. AID tags can be used therefore as geospatial markers to highlight checkpoints in AUV trajectories, or to mark areas of interest underwater. Numerical simulations of the acoustic signatures of two AID tag design iterations i.e. a horizontally stratified AID tag, and a hemispherically stratified AID tag, were experimentally validated using a sub-scale ultrasound setup. Furthermore, an energy based layer optimization strategy was proposed to maximize the strength of reflected AID tag signatures for different source frequency ranges. Subsequently, the detectability of AID tags in the proximity of strong interference such as a hard seabed or another AID tag was quantified, and the detection range of an AID tag was computed based on the standard SONAR equation. Finally, experimental results of hemispherical AID tags interrogated by high-frequency SONAR were presented to demonstrate AID tag performance in realistic deployment scenarios.Ph.D

    Wireless Sensors and Actuators for Structural Health Monitoring of Fiber Composite Materials

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    This work evaluates and investigates the wireless generation and detection of Lamb-waves on fiber-reinforced materials using surface applied or embedded piezo elements. The general target is to achieve wireless systems or sensor networks for Structural Health Monitoring (SHM), a type of Non-Destructive-Evaluation (NDE). In this sense, a fully wireless measurement system that achieves power transmission implementing inductive coils is reported. This system allows a reduction of total system weight as well as better integration in the structure. A great concern is the characteristics of the material, in which the system is integrated, because the properties can have a direct impact on the strength of the magnetic field. Carbon-Fiber-Reinforced-Polymer (CFRP) is known to behave as an electrical conductor, shielding radio waves with increasing worse effects at higher frequencies. Due to the need of high power and voltage, interest is raised to evaluate the operation of piezo as actuators at the lower frequency ranges. To this end, actuating occurs at the International Scientific and Medical (ISM) band of 125 kHz or low-frequency (LF) range. The feasibility of such system is evaluated extensively in this work. Direct excitation, is done by combining the actuator bonded to the surface or embedded in the material with an inductive LF coil and setting the circuit in resonance. A more controlled possibility, also explored, is the use of electronics to generate a Hanning-windowed-sine to excite the PWAS in a narrow spectrum. In this case, only wireless power is transmitted to the actuator node, and this lastly implements a Piezo-driver to independently excite Lamb-waves. Sensing and data transfer, on the other hand, is done using the high-frequency (HF) 13.56 MHz. The HF range covers the requirements of faster sampling rate and lower energy content. A re-tuning of the antenna coils is performed to obtain better transmission qualities when the system is implemented in CFRP. Several quasi-isotropic (QI) CFRP plates with sensor and actuator nodes were made to measure the quality of transmission and the necessary energy to stimulate the actuator-sensor system. In order to produce baselines, measurements are prepared from a healthy plate under specific temperature and humidity conditions. The signals are evaluated to verify the functionality in the presence of defects. The measurements demonstrate that it is possible to wirelessly generate Lamb-waves while early results show the feasibility to determine the presence of structural failure. For instance, progress has been achieved detecting the presence of a failure in the form of drilled holes introduced to the structure. This work shows a complete set of experimental results of different sensor/-actuator nodes

    Magnetic Flux Leakage techniques for detecting corrosion of pipes

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    Oil and gas pipelines are subjected to corrosion due to harsh environmental conditions as in refinery and thermal power plants. Interesting problems such as internal and external corrosion, emerging from the increasing demand for pipeline protection have prompted this study. Thus, early detection of faults in pipes is essential to avoid disastrous outcomes. The research work presented in this thesis comprises investigations into the use of magnetic flux leakage (MFL) testing for pipe in extreme (underwater and high temperature) conditions. The design of a coil sensor (ferrite core with coil) with a magnetic circuit is carried out for high temperature conditions. The sensor thus developed lays the ground for non-destructive evaluation (NDE) of flaws in pipes through the MFL technique. The research focusses on the detection and characterization of MFL distribution caused by the loss of metal in ferromagnetic steel pipes. Experimental verifications are initially conducted with deeply rusted pipe samples of varying thicknesses in air. AlNiCo magnets are used along with Giant Magneto Resistance (GMR) sensor (AA002-02). The experiment is further repeated for saltwater conditions in relation to varying electrical conductivity with radio frequency identification (RFID) technique. A further study carried out in the research is the correlation between magnetic and underwater data communication. The study has resulted in the development and experimental evaluation of a coil sensor with its magnetic response at room and high temperatures. This makes the system effective under high temperature conditions where corrosion metal loss needs to be determined

    Magnetic Flux Leakage techniques for detecting corrosion of pipes

    Get PDF
    Oil and gas pipelines are subjected to corrosion due to harsh environmental conditions as in refinery and thermal power plants. Interesting problems such as internal and external corrosion, emerging from the increasing demand for pipeline protection have prompted this study. Thus, early detection of faults in pipes is essential to avoid disastrous outcomes. The research work presented in this thesis comprises investigations into the use of magnetic flux leakage (MFL) testing for pipe in extreme (underwater and high temperature) conditions. The design of a coil sensor (ferrite core with coil) with a magnetic circuit is carried out for high temperature conditions. The sensor thus developed lays the ground for non-destructive evaluation (NDE) of flaws in pipes through the MFL technique. The research focusses on the detection and characterization of MFL distribution caused by the loss of metal in ferromagnetic steel pipes. Experimental verifications are initially conducted with deeply rusted pipe samples of varying thicknesses in air. AlNiCo magnets are used along with Giant Magneto Resistance (GMR) sensor (AA002-02). The experiment is further repeated for saltwater conditions in relation to varying electrical conductivity with radio frequency identification (RFID) technique. A further study carried out in the research is the correlation between magnetic and underwater data communication. The study has resulted in the development and experimental evaluation of a coil sensor with its magnetic response at room and high temperatures. This makes the system effective under high temperature conditions where corrosion metal loss needs to be determined

    Development of Radio Frequency Interference Detection Algorithm for Passive Microwave Remote Sensing

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    Radio Frequency Interference (RFI) signals are man-made sources that are increasingly plaguing passive microwave remote sensing measurements. RFI is of insidious nature, with some signals low power enough to go undetected but large enough to impact science measurements and their results. With the launch of the European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS) satellite in November 2009 and the upcoming launches of the new NASA sea-surface salinity measuring Aquarius mission in June 2011 and soil-moisture measuring Soil Moisture Active Passive (SMAP) mission around 2015, active steps are being taken to detect and mitigate RFI at L-band. An RFI detection algorithm was designed for the Aquarius mission. The algorithm performance was analyzed using kurtosis based RFI ground-truth. The algorithm has been developed with several adjustable location dependant parameters to control the detection statistics (false-alarm rate and probability of detection). The kurtosis statistical detection algorithm has been compared with the Aquarius pulse detection method. The comparative study determines the feasibility of the kurtosis detector for the SMAP radiometer, as a primary RFI detection algorithm in terms of detectability and data bandwidth. The kurtosis algorithm has superior detection capabilities for low duty-cycle radar like pulses, which are more prevalent according to analysis of field campaign data. Most RFI algorithms developed have generally been optimized for performance with individual pulsed-sinusoidal RFI sources. A new RFI detection model is developed that takes into account multiple RFI sources within an antenna footprint. The performance of the kurtosis detection algorithm under such central-limit conditions is evaluated. The SMOS mission has a unique hardware system, and conventional RFI detection techniques cannot be applied. Instead, an RFI detection algorithm for SMOS is developed and applied in the angular domain. This algorithm compares brightness temperature values at various incidence angles for a particular grid location. This algorithm is compared and contrasted with other algorithms present in the visibility domain of SMOS, as well as the spatial domain. Initial results indicate that the SMOS RFI detection algorithm in the angular domain has a higher sensitivity and lower false-alarm rate than algorithms developed in the other two domains.Ph.D.Atmospheric and Space SciencesUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/86308/1/samisra_1.pd
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