Vibration Monitoring by Eigenstructure Change Detection Based on Perturbation Analysis

Investigation of a novel condition monitoring approach, combining artificial neural network (ANN) with a sequential analysis technique, has been reported in this paper. For this purpose operational data from a Siemens SGT600 gas turbine has been employed for the training of an ANN model. This ANN model is subsequently used for the prediction of performance parameters of the gas turbine. Simulated anomalies are introduced on two different sets of operational data, acquired one year apart, whereupon this data is compared with corresponding ANN predictions. The cumulative sum (CUSUM) technique is used to improve and facilitate the detection of such anomalies in the gas turbine’s performance. The results are promising, displaying fast detection of small changes and detection of changes even for a degraded gas turbine.

The use of subvoxel registration of serial magnetic resonance images to detect small changes to the brain and its surrounding tissues and fluids is described and the application of this technique to physiological and clinical problems is illustrated. Isotropic T1 weighted volume images were obtained in normal subjects and patients on two or more occasions (including pre- and post-contrast enhancement). The images were segmented and three-dimensional rigid body translation and rotation were used with sinc interpolation to match precisely the images using a chi 2 test and a minimization routine. Accurately registered images produced in this way, as well as subtraction images derived from them, were used to detect change to the brain. A system of image interpretation based on recognition of changes in tissue or fluid signal intensity as well as site, shape and size is described. Changes in position are analysed using a simple model based on the concept of two plateaux of higher and lower signal intensities and a border zone between them. Small changes due to differences in orientation of the head, as well as inhalation of oxygen, carbon dioxide and carbogen were observed in normal subjects. Changes were also observed in patients with head trauma, an astrocytoma and multiple sclerosis. Differences due to contrast enhancement and treatment were seen. In addition, children showed changes due to growth and development.

Change Detection and Diagnosis for Vibration Monitoring

The International Conference on Innovative Technology for Smart Construction Materials and Sustainable Infrastructure (ITSCMSI-2022) was successfully held on October 14th and 15th 2022. The ITSCMSI-2022 was organized by Department of Civil Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, A.P, India. Innovative and sustainable development is one of the leading civilization ideas in the field of Civil Engineering that has gained importance among the researchers in the recent past. In keeping view that the primary objective of the International Conference on Innovative Technology for Smart Construction Materials and Sustainable Infrastructure (ITSCMSI-2022) to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the Civil Engineering in line with the conference theme “Building the World with Innovative Structures towards a Sustainable Future”. The scope of the conference is to gather scientists, practitioners, members of technical committees and users of technical recommendations, to jointly at the same place discuss and envision the future sustainable development of materials, systems and structures in a holistic, global way. Thus, it aims at providing a premier platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Civil Engineering.The conference focuses on latest research in different areas of civil engineering with special emphasis on sustainable construction practices. The main theme of the conference is “Building the World with Innovative Structures towards a Sustainable Future” and it is divided into seven sub-themes:1. Smart materials and sustainable construction,2. Sustainable infrastructure in Structural Engineering3. Sustainable infrastructure in Geotechnical and Transportation Engineering4. Sustainability in Environmental Engineering5. Sustainability in Irrigation, Water Resources and Management6. Sustainability in Construction Management, and7. Remote Sensing and GIS Applications in SustainabilityThe ITSCMSI-2022 received about 120 abstracts from various fields of Civil Engineering and out of which 93 full-length papers were received. The research manuscripts deal with Innovative Technologies and Sustainable Materials in Civil Engineering.Hundreds of attendees, paper presenters, researchers and students have been benefited in many ways from this conference. About 51 scientific papers were presented in the conference by the authors from various countries through online platform. Four eminent and well distinguished experts in the field of civil engineering were invited to deliver their keynote speeches and share their knowledge along with their rich experience in the applications of the advancements in sustainable materials and infrastructure in civil engineering to the participants.In summary, the success of the conference is a team effort. This conference could not be organized without the dedicated efforts from all our committee members and hence I am grateful to all the committee members who worked very hard to make this event a successful one. We would also like to thank all the authors who have submitted their papers to the conference and like to thank the editors and reviewers who have contributed to the thorough review process thereby ensuring quality publication of the conference proceedings. We hope that you will find this conference thought provoking and engrossing, and you had a valuable experience by sharing ideas with others at this conference.SincerelyDr. Hanuma KasaganiCo-ConvenerITSCMSI -2022Email: hanumakasagani@vrsiddhartha.ac.inList of Committes are available in this Pdf.

Video recording is often conducted during epilepsy monitoring. This video provides important information correlating electrical activity with a patient's behavior during a seizure. Change detection in this type of video provides a tool to detect the motion of the patient to aid in diagnosis. Traditional methods detect changes by testing variations between frame pairs. Although effective in common applications, these methods are not satisfactory in detecting movements in medical video involving small local motion. In this work, we present a new change detection method by utilizing multiple video frames. Temporal domain properties are explored to warrant more robustness in the detection of small changes. The effectiveness of the new method is demonstrated by experimental results.

Thin plated structures of different geometries are widely used in the field of civil, mechanical, aerospace and naval engineering. The structures can be subjected to any time varying loading like blast or impact loads. This paper thus presents nonlinear transient vibration analysis of arbitrary thin plates using a superparametric element. The geometry of the plate is represented by cubic serendipity shape function and the displacement field is defined by an ACM plate bending element along with in-plane displacements. The element is capable of accommodating different arbitrary shapes but devoid of shearlocking problems or spurious mechanisms as seen in isoparametric elements. Different numerical examples are considered for the response analysis to prove the versatility of the formulations.

Abrasive waterjets are widely used in the fields of civil and mechanical engineering for cutting a great variety of hard materials including rocks, metals, and other materials. Cutting depth is an important index to estimate operating time and cost, but it is very difficult to predict because there are a number of influential variables (e.g., energy, geometry, material, and nozzle system parameters). In this study, the cutting depth is correlated to the maximum kinetic energy expressed in terms of energy (i.e., water pressure, water flow rate, abrasive feed rate, and traverse speed), geometry (i.e., standoff distance), material (i.e., α and β), and nozzle system parameters (i.e., nozzle size, shape, and jet diffusion level). The maximum kinetic energy cutting depth model is verified with experimental test data that are obtained using one type of hard granite specimen for various parameters. The results show a unique curve for a specific rock type in a power function between cutting depth and maximum kinetic energy. The cutting depth model developed here can be very useful for estimating the process time when cutting rock using an abrasive waterjet.

A liquid storage rectangular tank structures are used In many fields of civil, mechanical and marine engineering. Especially, Ship structures have many tanks In contact with Inner or outer fluid, like ballast, fuel and cargo tanks. Fatigue damages are sometimes observed in these tanks which seem to be caused by resonance with exciting force of engine and propeller. Vibration characteristics of these thin walled tanks in contact with fluid near engine or propeller are strongly affected by added mass of containing fluid. Therefore it is essentially important to estimate the added mass effect to predict vibration of the tank structures. In the previous report, we have developed numerical tool of vibration analysis of 3-dimensional tank structure using finite elements for plates and boundary elements for fluid region. In the present report, using the numerical analysis, vibrations characteristics In deep water tank are investigated and discussed.

Spectral characterization of cell surface motion for mechanistic investigations of cellular mechanobiology

Quantitative mapping of the soil rubification process on sand dunes using an airborne hyperspectral sensor

It is shown that high-energy X-ray diffraction allows a fast and accurate texture and microstructure analysis of crystals, which can help to set up optimal industrial procedures for materials manufacturing. This paper presents the experimental and theoretical aspects of quantitative texture analysis using high-energy synchrotron beams. Intensity corrections are less important in this approach than in classical laboratory methods; however, the most important correction, related to the Lorentz factor, can introduce relative fraction changes of up to about 40% compared to the uncorrected case. The resolution of the orientation density function also influences the results. For example, the usual 5° resolution leads to relative deviations of up to 30% in the fraction of some components. The method allowed detection of small changes taking place during the recovery and continuous recrystallization of a cold-rolled Al–TiB2 nanocomposite. Texture information was combined with the results of line profile analysis, evidencing the evolution of the average dislocation density and coherent domain size of the selected grain families. It was found that recovery, as described in terms of dislocation annihilation and coherent domain coarsening, takes place at similar rates in all components.

Surface plasmon resonance imaging is an optical method that allows the real time detection of small changes in the physical properties of a dielectric medium near a metallic surface. Using proper surface functionalization and structuration, this technique can be applied to the realization of optical biochips where multiple unlabeled interactions can be monitored. More precisely, thanks to the use of an adequate optical set-up built around a gold surface realized by self assembled monolayers or electrocopolymerization, we studied DNA:DNA interactions with potential application to genetic diagnostic and DNA:protein interactions to demonstrate the ability of the system to determine simultaneously different affinity constants.

The estimation of 4-hydroxy-3-methoxyphenylglycol and total metadrenalines in human urine

Quantitative parametric imaging approaches provide new perspectives for radiological imaging. These include quantitative 2D, 3D, and 4D visualization options along with the parametric depiction of biological tissue properties and tissue function. This allows the interpretation of radiological data from a biochemical, biomechanical, or physiological perspective. Quantification permits the detection of small changes that are not yet visually apparent, thus allowing application in early disease diagnosis and monitoring therapy with enhanced sensitivity. This review outlines the potential of quantitative parametric imaging methods and demonstrates this on the basis of a few exemplary applications. One field of particular interest, the use of these methods for investigational new drug application studies, is presented. Assessment criteria for judging the quality of quantitative imaging approaches are discussed in the context of the potential and the limitations of these methods. While quantitative parametric imaging methods do not replace but rather supplement established visual interpretation methods in radiology, they do open up new perspectives for diagnosis and prognosis and in particular for monitoring disease progression and therapy.

Women’s dietary calcium requirements are not increased by pregnancy or lactation