International Journal of COMADEM <div class="additional_content"> <div class="entry-content"> <p>This peer-reviewed internationally acclaimed professional-cum-learned journal was launched in 1998 to meet the needs of the global condition monitoring community. The International editorial board consists of prominent academics, consultants, engineers, scientists, technologists and management specialists representing a wide sector of the economy. This leading edge technology management journal is interdisciplinary based and is totally dedicated to:</p> <ul> <li class="show">Industrial Asset Management</li> <li class="show">Advances in Maintenance Engineering and Management</li> <li class="show">Standardization</li> <li class="show">Industrial Case Studies</li> <li class="show">Integrated Vehicle Health Management</li> <li class="show">Advances in Systems Failure Diagnosis and Prognosis</li> <li class="show">Big Data Management</li> <li class="show">Advanced Sensor Technology</li> <li class="show">Health &amp; Safety</li> <li class="show">Intelligent Manufacturing</li> <li class="show">Risk Management</li> <li class="show">Technology Management</li> <li class="show">Industrial Logistics</li> <li class="show">Industrial Tribology</li> <li class="show">Bio-medical Engineering</li> <li class="show">Structural health Monitoring</li> <li class="show">Advanced Signal Processing</li> <li class="show">Machinery/Process Health Monitoring</li> <li class="show">Environmental Management</li> <li class="show">RCM</li> <li class="show">TQM</li> </ul> </div> </div> <p>The Journal covers peer-reviewed technical papers, industrial case studies, best practice tutorials, critical overviews, technical literature abstracts, latest news, conferences proceedings, book reviews, etc.</p> <p>This journal is distributed worldwide. It is indexed in INSPEC, Shock &amp; Vibration Digest, Current Contents, NASA Center for Aerospace Information, British Library etc.</p> en-US <p>Author(s) by submitting the manuscript to the International Journal of COMADEM agree to transfer the rights to COMADEM International UK with some exceptions as described in <a href="copyrights">COPYRIGHT TRANSFER AGREEMENT</a> available <a href="copyrights">here</a>.</p> (Prof B.K.N. Rao) (Dr Taimoor Asim) Fri, 28 Oct 2022 20:49:50 +0000 OJS 60 Identification of Vulnerable Lakes in Chenab River Basin of Western Himalayan Region <p>Retreating Glaciers in Himalayas are causing expansion of many glaciers lake, formed behind ice-‘dam’ or moraine dam and are big risk to the habitation and structures downstream. The unexpected breach in weak moraine lakes discharges huge volume of water and debris flow which are generally known as “Glaciers Lake Outburst Flood” (GLOF). This volume of water and debris can be millions of cubic meter in a short duration, resulting life threatening flooding in the downstream portion. These potentially dangerous lakes are analysed and identified on several factors like spread and condition of these lakes, the condition of dams, location of mother glaciers and some of the topographic feathers associated with lakes, dams, and glaciers. In this research work, the Chenab river basin originating in the Western Himalayan region has been taken to prepare the glacier lake inventory and also to recognize potentially vulnerable lakes. This study demonstrated a standard criterion of identification of vulnerable lakes/glacial lakes in the selected study area i.e. Chenab river basin. Taking lake area, type/location of lake and physical condition etc. as a standard parameter, two lakes have been found as potentially dangerous.</p> Anupam Srivastava, K C Tiwari Copyright (c) Mon, 24 Oct 2022 00:00:00 +0000 Fault diagnosis of worm gearbox under various working conditions using wear particle analysis <p>Rotating machinery is one of the most basic and important equipment, that plays a very important role in any kind of industry. The majority of these machines are operated by means of gears, bearings and other parts, which can become faulty during their use and can affect the performance of the machine and can even result in the breakdown of the machine. Machine downtimes results in loss of production, upon which the whole industry relies on. Techniques such as vibration, thermography, shock pulse monitoring and noise or acoustic emission for gear fault diagnosis are well established, however, the application of wear particle analysis for diagnosis and Prognostic Health Management (PHM) is still in its infancy stage. This paper describes an experimental investigation on a pair of worm gear in which induced wear mechanisms were allowed to occur, namely, moisture corrosion wear, acid attacked corrosion wear, hard contaminant-related three body abrasive wear and adhesive wear. The tests samples of wear debris were collected and assessed through the utilization of an optical microscope in order to correlate and compare the debris morphology to wear degradation of the worn worm gears. Preliminary results presented in this particular work that wear debris characteristics exhibited a direct relationship with different wear modes, thus, it should be possible to detect, diagnose and/or prognoses oil lubricated worm gear wear utilization of wear debris morphological analysis when condition monitoring oil lubricated worm gear sets.</p> <p><em>Worm gear</em></p> Sontinan Intasonti, Supapat Phuangkaew, Tadpon Kullawong Copyright (c) Mon, 24 Oct 2022 00:00:00 +0000 Design and Development of Prototype for Advanced Industrial Manipulator <p>An Industrial manipulator (robotic arm) is comprised of servo motors and constructed similarly to a human arm which will have a different configuration of mechanical motions. This project proposes real-time image processing with manipulator control system using raspberry pi and Arduino. A manipulator capable of surveillance and application in which it follows a pre-specified sequence to pick and place the object. The convolutional neural network (CNN) is used for image recognition. CNN is widely used for processing images and detecting objects. The open CV library was used to perform the detection and recognition. And all of this was done using a Raspberry Pi, which runs Raspbian, a Linux operating system based on Debian. In python, the entire programming model is created. For Raspberry Pi hardware, there is a Simulink support package. The application uses Raspberry pi to capture the item image, process it, and detect the object.</p> Maqbool Ahemad Shaikh, Mangesh Dhavalikar Copyright (c) Mon, 24 Oct 2022 00:00:00 +0000 Evaluation and improvement of the efficiency of technogenic risk management and safety in a drilling company <p>Today, the exhaustion of the resource of oil industry facilities is a significant factor in the occurrence of man-made accidents and disasters for Russia. The resulting accidents and damages become comparable to the cost of newly created facilities and in many cases exceed their cost. In this regard, the implementation of comprehensive measures aimed at ensuring the security of industrial facilities is currently particularly relevant. The article describes the possibility and effectiveness of complex impact on the existing system of man-made risk management in a drilling company in order to improve the efficiency of ensuring safety at hazardous production facilities of the enterprise.</p> Mukhabbat Makhmudova, Yuri Sivkov, Larisa Khairullina, Vladimir Martynovich Copyright (c) Mon, 24 Oct 2022 00:00:00 +0000 Adaptive Infinite Impulse Response System Identification Using Elitist Teaching-Learning-Based Optimization Algorithm <p>Infinite Impulse Response (IIR) systems identification is complicated by traditional learning approaches. When reduced-order adaptive models are utilised for such identification, the performance suffers dramatically. The IIR system is identified as an optimization issue in this study. For system identification challenges, a novel population-based technique known as Elitist teacher learner-based optimization (ETLBO) is used to calculate the best coefficients of unknown infinite impulse response (IIR) systems. The MSE function is minimised and the optimal coefficients of an unknown IIR system are found in the system identification problem. The MSE is the difference between an adaptive IIR system's outputs and an unknown IIR system's outputs. For the unknown system coefficients of the same order and decreased order cases, exhaustive simulations have been performed. In terms of mean square error, convergence speed, and coefficient estimation, the results of actual and reduced-order identification for the standard system using the novel method outperform state-of-the-art techniques. For approximating the same-order and reduced-order IIR systems, four benchmark functions are examined utilizing GA, PSO, CSO, and BA. To demonstrate the improvements, the approach is evaluated on three conventional IIR systems of 2nd, 3rd, and 4th order models. On the basis of computing the mean square error (MSE) and fitness function, the suggested ETLBO approach for system identification is proven to be the best among others. Furthermore, it is confirmed that the suggested ETLBO method outperforms some of the other known system identification strategies. Finally, the efficiency of the dynamic nature of the control parameters of DE, TLBO, and BA in finding near parameter values of unknown systems is demonstrated through comparison data. The simulation results show that the suggested system identification approach outperforms the current methods for system identification.</p> Y Ramalakshmanna, P Shanmugaraja, P V Rama Raju, T V Hymalakshmi Copyright (c) Mon, 24 Oct 2022 00:00:00 +0000 Intelligent condition assessment of gas turbine engine <p>Condition assessment of gas turbine in an integrated manner demands variety of data to be fused to arrive at a meaningful information for deriving inferences. With the recent advancement in artificial intelligence and significant improvement in digital processing capabilities this whole procedure for condition assessment is possible automated. The advantage of this lies in the potential to observe the system more precisely using a multidimensional approach. This enhances the diagnostic reliability. The present paper brings about the process of developing an automated data driven condition monitoring system for a gas turbine engine. Various parameters pertaining to performance and mechanical health are considered. The trained model which is system specific is used for identification of deviated behaviour and flagging the data for further dedicated diagnostic process based on the weightings of various feature vector defined by the expert. The system finally generates an automated report by populating the various diagnostics information necessary for decision making. The complete process is demonstrated using a real-life case study.</p> Rukmangad Barad, K.S. Sridhar Copyright (c) Mon, 24 Oct 2022 00:00:00 +0000 Design and Structural Analysis of 3-Axis CNC Benchtop Milling Machine <p>When dealing with machining accuracy and reliability, performing a structural and modal analysis is an essential aspect of understanding loads' effects on physical structures and their components. In this paper, the static and modal analysis is performed on the 3-axis benchtop CNC milling machine. This study deal with all the required procedures for design two open frame structures of the machine using CAD software. Altair SolidThinking Inspire software proposes the new design, and the structures were analyzed using the FEA technique. The result of the dynamic analysis was compared and validated using the experimental impact of the hammer test. The result showed that mode shape one of design B structure's modal frequency was higher than design A, meaning that the spindle speed should be further limited. Design B produced reliable results for static displacement and dynamic performance. The theoretical, this machine was capable of performing machining operation with the maximum cutting speed of 1650 RPM. It ensured that the machining output could be enhanced in terms of accuracy and repeatability. By comparing the machine structure with both designs, design B is the better design and chosen as the machine design structure.</p> Abd Rahman, S.B. Mohamed, M. Minhat, A.R. Zulkifli, M.A.M. Norman Copyright (c) Mon, 24 Oct 2022 00:00:00 +0000 Modeling of Water Distribution Network Using WATERGEMS <p>The primary issue with the current water distribution network is the available head and necessary quantity of water. Designing a new or upgrading an existing WDN is needed to tackle such problems using software. Because of water shortages and pressure variations in Delhi, a small town in the city has been chosen to assess the current WDN using WATERGEMS V8i. This research aims to use WATERGEMS V8i to assess the existing WDN and make recommendations for the current WDN to meet current and imminent demand. The obtained results confirmed that pressures, flow rate and velocities in the pipes and junctions are insufficient to give enough water. The established water delivery network was then proposed to be modified to fulfil current and future demands. In any circumstances, a sufficient amount of water must be delivered to the user endpoint with sufficient head and volume.</p> Vijay Kaushik, Munendra Kumar, Bandita Naik Copyright (c) Mon, 24 Oct 2022 00:00:00 +0000