Effect of detector and analyzer settings on partial discharge measurement and representation

Partial discharge (PD) measurement is usually performed with PD detector and analyzer system. The data collected during the test is generally represented as distributions. These distributions are interpreted to reveal the PD phenomenon and the state of the insulation. The paper demonstrates the effect of instrument characteristics on measurement and representation of PD phenomenon with experimental results obtained from short time PD endurance tests on oil pressboard samples. The instrumentation, a combined narrowband detector and multi-channel analyzer (MCA), is analyzed for the effect of the detector resolution and gain settings on the PD distributions. The results show the instrument dependence in the PD characteristics due to differences in measurement ability at various instrument settings. These differences in representation lead to multiple interpretation for the same phenomenon or state of the insulation and hence to wrong classification. The paper emphasis is that interpretation of the results should be made to account for the measurement ability of the instruments in use.     

Higher adsorption capacity of Spirulina platensis alga for Cr(VI) ions removal: parameter optimisation,equilibrium, kinetic and thermodynamic predictions

This study discusses about the biosorption of Cr(VI) ion from aqueous solution using ultrasonic assisted Spirulina platensis (UASP). The prepared UASP biosorbent was characterised by Fourier transform infrared spectroscopy, X‐ray diffraction, Brunauer–Emmet–Teller, scanning electron spectroscopy and energy dispersive X‐ray and thermogravimetric analyses. The optimum condition for the maximum removal of Cr(VI) ions for an initial concentration of 50 mg/l by UASP was measured as: adsorbent dose of 1 g/l, pH of 3.0, contact time of 30 min and temperature of 303 K. Adsorption isotherm, kinetics and thermodynamic parameters were calculated. Freundlich model provided the best results for the removal of Cr(VI) ions by UASP. The adsorption kinetics of Cr(VI) ions onto UASP showed that the pseudo‐first‐order model was well in line with the experimental data. In the thermodynamic study, the parameters like Gibb''s free energy, enthalpy and entropy changes were evaluated. This result explains that the adsorption of Cr(VI) ions onto the UASP was exothermic and spontaneous in nature. Desorption of the biosorbent was done using different desorbing agents in which NaOH gave the best result. The prepared material showed higher affinity for the removal of Cr(VI) ions and this may be an alternative material to the existing commercial adsorbents.Inspec keywords: adsorption, ultrasonic applications, Fourier transform infrared spectra, X‐ray diffraction, scanning electron microscopy, X‐ray chemical analysis, thermal analysis, chromium, free energy, enthalpy, entropy, desorption, water treatment, water pollution, biological techniques, microorganismsOther keywords: Cr⁴⁺ , entropy changes, enthalpy changes, Gibb''s free energy, pseudofirst‐order model, Freundlich model, thermogravimetric analyses, energy dispersive X‐ray, scanning electron spectroscopy, Brunauer‐Emmet‐Teller, X‐ray diffraction, Fourier transform infrared spectroscopy, UASP biosorbent, ultrasonic assisted Spirulina platensis, aqueous solution, chromium ion biosorption, thermodynamic prediction, kinetic prediction, equilibrium prediction, parameter optimisation, chromium ion removal, Spirulina platensis alga, adsorption capacity     

Friction welding of Cu-tube to Al-tube plate using an external tool

In the present study, friction welding of tube to tube plate using an external tool (FWTPET) was used to weld copper tubes with aluminum plates. Tubes were prepared with holes along the faying surfaces of tubes and cleaned before welding. The weld microstructure shows line of stir zone (SZ), a narrow thermo mechanically affected zone and heat affected zone (HAZ). The welded samples were found to have satisfactory joint strength and the XRD study showed the presence of AlCu intermetallic in the weld zone. The hardness survey revealed that there was a slight increase in hardness adjacent to the weld interface due to grain refinement. Better weld joints were achieved when the tool rotation speed and interference are 1500 rpm and 0.8 mm respectively. The present study confirms that a high quality copper tube to aluminium tube plate joint can be achieved by FWPET process.     

Design of low cost universal artificial neuron controller for chopper fed embedded DC drives

Artificial neural network (ANN) has become very popular in many control applications due to their high computation rate and ability to handle nonlinear functions. This paper proposes an artificial neuron controller for closed loop speed control of DC drive fed by DC chopper. Neuron control is used to reduce the steady state error, overshoot and settling time. The signal corresponding to the motor speed error and change in speed error are used as inputs to ANN Controller. The controller outputs the required change in duty cycle of pulse width modulated gating signal applied to DC chopper. Thus the voltage fed to the armature of the DC motor is adjusted for achieving the desired speed response. The training patterns for the neuron controller are obtained from the conventional PI controller and the effectiveness of the proposed neuron controller is studied using simulation studies.The designed controller was implemented in a low cost 8051-based embedded system and the results are documented. Two-loop control system was implemented with an inner ON/OFF current controller and an outer ANN speed controller.A conventional controller has heavy computation burden whereas a trained neural network requires less computation time. The artificial neural network has the ability to generalize and can interpolate in between the training data. This advantage of ANN makes the ANN controller universal. The ANN controller designed was tested on two different motors and found to work effectively on driving both of them.     

Optimization of friction welding of tube to tube plate using an external tool

The field of materials technology has been witnessing tremendous developments. Friction welding is an important solid state joining technique. In this research study, friction welding of tube to tube plate using an external tool has been performed and the process parameters are optimized by Taguchi L₈ orthogonal array. The prioritization of the process parameters has been obtained and ANOVA has been conducted to predict the statistical significance of the process parameters. This is followed by the optimization of welding process parameters using genetic algorithm. The practical feasibility of applying Genetic Algorithm to friction welding process has been ensured by means of studying the deviation between predicted and experimentally obtained welding process parameters.     

Cost Optimized Switching of Routing Protocol Scheme for IoT Applications

In this work, we propose a context-aware switching of routing protocol scheme for specific application requirements of IoT in real-time using a software-defined networking controller in wireless sensor networks. The work planned has two stages i) Selection of suitable routing protocol (RP) for given IoT applications using higher cognitive process and ii) Deployment of the corresponding routing protocol. We use the supervised learning-regression method for classification of the routing protocol while considering the network parameters like stability, path delay, energy utilization, and throughput. The chosen routing protocol will be set in the sensor network using a software-defined networking controller in an exceedingly flexible manner during the second stage. Extensive simulation has been done and results are evaluated to point out the strength of the proposed work, while dynamically varying the specific requirements of IoT applications. We observe that the work proposed is path-breaking the prevailing methods, where a specific routing protocol is employed throughout the period of time. It’s clearly shown that the proposed, Low-cost Context-Aware Protocol Switching (LCAPS) scheme is efficient in improving the performance of the sensor network and also meets the specific application requirements of IoT by using Software-Defined Wireless Sensor Networks SDWSNs.     

Covering-based rough set classification system

Medical data classification is applied in intelligent medical decision support system to classify diseases into different categories. Several classification methods are commonly used in various healthcare settings. These techniques are fit for enhancing the nature of prediction, initial identification of sicknesses and disease classification. The categorization complexities in healthcare area are focused around the consequence of healthcare data investigation or depiction of medicine by the healthcare professions. This study concentrates on applying uncertainty (i.e. rough set)-based pattern classification techniques for UCI healthcare data for the diagnosis of diseases from different patients. In this study, covering-based rough set classification (i.e. proposed pattern classification approach) is applied for UCI healthcare data. Proposed CRS gives effective results than delicate pattern classifier model. The results of applying the CRS classification method to UCI healthcare data analysis are based upon a variety of disease diagnoses. The execution of the proposed covering-based rough set classification is contrasted with other approaches, such as rough set (RS)-based classification methods, Kth nearest neighbour, improved bijective soft set, support vector machine, modified soft rough set and back propagation neural network methodologies using different evaluating measures.