Data Mining Practical Machine Learning Tools and Techniques

Artificial intelligence for fault diagnosis of rotating machinery: A review

Wavelets for fault diagnosis of rotary machines: A review with applications

Convolutional Neural Network Based Fault Detection for Rotating Machinery

This review covers advances in electrochemical and biochemical sensor development and usage during 2010 and 2011 In choosing scholarly articles to contribute to this review, special emphasis was placed on work published in the areas of reference electrodes, potentiometric sensors, voltammetric sensors, amperometric sensors, biosensors, immunosensors, and mass sensors In the past two years there have been a number of important papers, that do not fall into the general subsections contained within the larger sections Such novel advances are very important for the field of electrochemical sensors as they open up new avenues and methods for future research Each section above contains a subsection titled “Other Papers of Interest” that includes such articles and describes their importance to the field in general For example, while most electrochemical techniques for sensing analytes of interest are based on the changes in potential or current, Shan et al1 have developed a completely novel method for performing electrochemical measurements In their work, they report a method for imaging local electrochemical current using the optical signal of the electrode surface generated from a surface plasmon resonance (SPR) The electrochemical current image is based on the fact that the current density can be easily calculated from the local SPR signal The authors demonstrated this concept by imaging traces of TNT on a fingerprint on a gold substrate

Full articles and reviews were primarily amassed by searching the SciFinder Scholar and ISI Web of Knowledge Additional articles were found through alternate databases or by perusing analytical journals for pertinent publications Due to the reference limitation, only publications written in English were considered for inclusion Obviously, there have been more published accounts of groundbreaking work with electrochemical and biochemical sensors than those covered here This review is a small sampling of the available literature and not intended to cover every advance of the past two years The literature chosen focuses on new trends in materials, techniques, and clinically relevant applications of novel sensors To ensure proper coverage of these trends, theoretical publications and applications of previously reported sensor development were excluded

We want to remind our readers that this review is not intended to provide comprehensive coverage of electrochemical sensor development, but rather to provide a glimpse of the available depth of knowledge published in the past two years This review is meant to focus on novel methods and materials, with a particular focus on the increasing use of graphene sheets for sensor material development For readers seeking more information on the general principles behind electrochemical sensors and electrochemical methods, we recommend other sources with a broader scope2, 3 Electrochemical sensor research is continually providing new insights into a variety of fields and providing a breadth of relevant literature that is worthy of inclusion in this review Unfortunately, it is impossible to cover each publication and unintentional oversights are inevitable We sincerely apologize to the authors of electrochemical and biochemical sensor publications that were inadvertently overlooked

Electrochemical Sensors and Biosensors

Fluid film bearings operated with smart lubricants have been successfully used to enhance the lubricating performance. This article proposes a computational model to analyze the influence of magnet...

Influence of magnetorheological lubricant behavior on the performance of annular recessed orifice compensated non-textured/textured thrust pad bearing:

Determination of the band gap of nonparabolic semiconductors by measuring the faraday rotation in the quantum limit

This paper deals with quasi-static analysis of wheel-rail interaction. The model has been developed for analysing the contact patches behaviour, pressure distribution, von mises stress and strain. A solid model has been developed using SOLIDWORKS on the basis of UIC-60 rail profile and S-1002 wheel profile. Finite element analysis of the solid model has been done using ANSYS software. It has been observed that wheel-rail interaction is nonlinear and exceeded the yield strength of wheel material. The analysis of the worn thread of wheel has enabled the identification of the contact patches and critical sections of the wheel-rail interface.

http://ischolar.info/index.php/IJVSS/article/download/185339/172565

Finite Element Simulation of Wheel-Rail Interaction: Technical Note

Gum ghatti (GG) is a natural polysaccharide produced from ghatti tree (Anogeissus latifolia). Chemically, the gum is composed of several mono-sugars and uronic acids in the form of calcium and magnesium salts. GG contains soluble and insoluble fractions, which form a thick colloidal solution in water. GG is non-toxic, bio-degradable, and biocompatible to the human digestive system. It finds applications as an emulsifier, stabilizer, binder, thickener, moisture retainer, film-forming agent and a raw material for hydrogel synthesis. The gradual change in the human mindset has increased demand for natural gums like GG to overcome the adverse effects of synthetic additives. As ghatti trees are found in the forest or non-agricultural lands, its gum collection and sales provide an alternate source of sustainable livelihood to the economically backward and resource-constrained population inhabiting forest and sub-forest areas. This review is a unique article covering the literature on production aspects like tree description, importance, GG tapping, production, processing, and marketing. The review of such an important natural product will be useful for researchers, stakeholders, policymakers, and others working in natural resins and gums sector.

Natural exudate gum from ghatti tree (Anogeissus latifolia): A review on production, processing and marketing

This article presents the influence of non-Newtonian behavior of lubricant on the performance indices of an externally pressurized thrust bearing. A generalized non-Newtonian Reynolds equation has been used to compute film pressure and its gradient between the clearance space of bearing. The bearing performance indices have been numerically computed by a coupled solution of the Reynolds equation, power-law constitutive equation, and lubricant flow equation through control flow valve (CFV) device. Finite element formulation has been used to solve the Reynolds equation for fluid film pressure and associated performance indices such as film reaction force, stiffness, and damping coefficients. The effect of shear-thinning and shear-thickening behavior has been assessed on the overall performance of bearing employing various types of pockets. These results can be helpful to bearing designers in a selection of pocket shape so as to obtain better dynamic response from the thrust bearing system.

Satish C. Sharma

Papers

Influence of magnetorheological lubricant behavior on the performance of annular recessed orifice compensated non-textured/textured thrust pad bearing:

Determination of the band gap of nonparabolic semiconductors by measuring the faraday rotation in the quantum limit

Finite Element Simulation of Wheel-Rail Interaction: Technical Note

Natural exudate gum from ghatti tree (Anogeissus latifolia): A review on production, processing and marketing

Effect of Non-Newtonian Behavior of Lubricant on Performance of Externally Pressurized Thrust Bearing