Faculty Publications

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    Simulation modeling and analysis of a complex system of a thermal power plant
    (Universitat Politecnica de Catalunya editor@jiem.org, 2009) Gupta, S.; Tewari, P.C.
    The present paper deals with the opportunities for the modeling of flue gas and air system of a thermal power plant by making the performance evaluation using probabilistic approach. The present system of thermal plant under study consists of four subsystems with three possible states: full working, reduced capacity working and failed. Failure and repair rates for all the subsystems are assumed to be constant. Formulation of the problem is carried out using Markov Birth-Death process using probabilistic approach and a transition diagram represents the operational behavior of the system. Interrelationship among the full working and reduced working states has been developed. A probabilistic model has been developed, considering some assumptions. Data in feasible range are selected from a survey of thermal plant and the effect of each subsystem on the system availability is tabulated in the form of availability matrices, which provides various performance/availability levels for different combinations of failure and repair rates of all subsystems. Based upon various availability values obtained in availability matrices and graphs of failure/repair rates of different subsystems, performance and optimum values of failure/repair rates for maximum availability, of each subsystem is analyzed and then maintenance priorities are decided for all subsystems. © JIEM, 2009.
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    Improvement of overall equipment performance of underground mining machines- a case study
    (AMSE Press 16 Avenue Grauge Blanche Tassin-la-Demi-Lune 69160, 2018) Balaraju, B.; Raj, G.; Chivukula, M.S.
    Production and productivity of any industry mainly depends on effective utilization of men and machinery. Underground mine production for the last few decades in India is not in satisfactory level, due to less mechanization. The maximum amount is expended for introducing the large scale mechanized equipment. Hence, mechanization in loading system has made advantageous towards production. In spite of this Load Haul Dumper (LHD) is one and used as loading and hauling machine for intermediate of operation. During the operation of the equipment, possible major breakdowns are occurred in some aspects. Therefore, these lead to reduce the percentage availability and utilization of the machines. As a result of this, it is very essential to analyze the performance of LHD machines, to reduce the cost during the operations. The higher availability of machine gives an optimum utilization, which increase the production and productivity of these principal intensive items. Keeping this in view, this paper focuses on improvement of overall equipment performance (OEP) by calculating the percentage availability and capacity utilization of LHDs in underground mines. Further an attempt is also emphasized to identify the contributing factors of performance improvement. © 2018 AMSE Press. All Rights Reserved.
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    Reliability-based preventive maintainability analysis of shovel-dumper system in surface coal mine using ANN and isograph reliability workbench
    (International Information and Engineering Technology Association info@iieta.org, 2018) N. S., N.S.; Choudhary, R.P.; Murthy, C.S.N.
    Shovel-Dumper system is utilized as a loading and transporting machines for intermediate mechanization in surface mining. For survival in the exceptional competition in the global business environment in recent years, it is basic that the Shovel - Dumper system should be reliable and maintained adequately and effectively. This paper seeks to study the reliability, availability, and preventive maintenance of one shovel and four dumpers in a surface coal mine with failure and repair data by Isograph Reliability Workbench (RWB) in the case of a non-parametric statistical method such as K-S test. The constraints and reasons for machine unavailability are outlined. The reliability and availability of the shovel-dumper system are evaluated and also evaluated the maintenance time interval to improve the 80% of reliability for each system. The reliability, availability and preventive maintenance have been validated with the artificial neural network (ANN). ANN model is then connected to a reliability method, K-S test to predict the failure probability of shovel and dumper. © 2018 Mathematical Modelling of Engineering Problems.
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    Improvement of overall equipment performance of underground mining machines- a case study
    (AMSE Press 16 Avenue Grauge Blanche Tassin-la-Demi-Lune 69160, 2018) Balaraju, R.J.; Raj, G.; Murthy, S.C.
    Production and productivity of any industry mainly depends on effective utilization of men and machinery. Underground mine production for the last few decades in India is not in satisfactory level, due to less mechanization. The maximum amount is expended for introducing the large scale mechanized equipment. Hence, mechanization in loading system has made advantageous towards production. In spite of this Load Haul Dumper (LHD) is one and used as loading and hauling machine for intermediate of operation. During the operation of the equipment, possible major breakdowns are occurred in some aspects. Therefore, these lead to reduce the percentage availability and utilization of the machines. As a result of this, it is very essential to analyze the performance of LHD machines, to reduce the cost during the operations. The higher availability of machine gives an optimum utilization, which increase the production and productivity of these principal intensive items. Keeping this in view, this paper focuses on improvement of overall equipment performance (OEP) by calculating the percentage availability and capacity utilization of LHDs in underground mines. Further an attempt is also emphasized to identify the contributing factors of performance improvement. © © 2017 IIETA. All Rights Reserved.
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    A two identical unit standby system with inspection, two types of repair and delayed replacement of standby
    (DAV College rkishan05@rediffmail.com 606-10 D.A.V (P.G) College Flats, Muzzaffarnagar 251-001, 2019) Gupta, S.; Chaudhary, P.; Vaishali
    The paper deals with reliability and profit function analysis of a two identical unit standby system model with two modes- Normal and Total failure of each unit. Initially one unit is operative and the other is kept into cold standby. Upon failure of the operative unit the standby unit takes a random time to replace the operative unit. The time is called the delay time for replacement of the operative unit. Inspection is required to detect the type of failure after which the type of repair (either Type-1 or Type-2) is made. Whenever, the operative unit fails, a repairman is called to come at the system for the replacement of failed operative unit with standby and he takes some significant time to reach at the system. Failure time distribution is taken as exponential. The repair and inspection time distributions are also taken as exponential. Whereas the arrival and replacement time distribution are taken as general. By using supplementary variable technique, the various important measures of system effectiveness have been obtained. © 2019 DAV College. All rights reserved.
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    Application ANN Tool for Validation of LHD Machine Performance Characteristics
    (Springer, 2020) Balaraju, B.; Raj, G.R.; Murthy, C.S.
    Survival of industries has become more critical in the present global competitive business environment unless they produce their projected production levels. The accomplishment of this can be possible only by maintaining the men and machinery in an efficient and effective manner. Hence, it is more essential to estimate the performance of utilized equipment for reaching/achieving future goals. The present study focuses on the estimation of underground mining machinery such as the load–haul–dump machine performance characteristics using ‘Isograph Reliability Workbench 13.0’ software. The allocation of best-fit/goodness-of-fit distribution was made by utilizing the Kolmogorov–Smirnov test (K–S) test. The parameters were recorded based on the best-fitted results using the maximum likelihood estimate test. Further, a feed-forward-back-propagation artificial neural network (ANN) tool has been used to develop the models of reliability, availability and preventive maintenance time intervals. The number of neurons was selected with the Levenberg–Marquardt learning algorithm in the hidden layer as the optimal value. The output responses were predicted corresponding to the optimal values. Further, an attempt has been made to validate the computed results with ANN predicted responses. The recommendations are suggested to the industry based on the results for the improvement of system performance. © 2020, The Institution of Engineers (India).
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    Reliability, availability and maintainability (RAM) investigation of Load Haul Dumpers (LHDs): a case study
    (Springer, 2022) Balaraju, B.; Raj, G.R.; Murthy, S.M.
    Load Haul Dumpers (LHDs) are prominent equipment employed for transportation operations in many of the underground mines. This equipment often suffers from frequent breakdowns due to a variety of technical and managerial practices resulting in increased maintenance costs and loss of production and productivity. Reliability, Availability and Maintainability (RAM) analysis deal with the optimal functioning of equipment, maintenance scheduling, controlling cost, and improvement of availability and performance. Keeping this in view, the current study focused on the estimation of the performance of the equipment using RAM investigation. The required failure and repair data of LHDs were collected from field investigations. Graphical analyses using Trend and serial correlation tests and analytical analysis using Statistic-U test were conducted to validate the Independent and Identical Distribution (IID) nature of the data sets. Based on the above tests, the Renewal Process was adopted to carry out the RAM analysis. The best-fit approximation of datasets was selected by performing the Kolmogorov–Smirnov (K–S) test. In addition to that, the reliability-based Preventive Maintenance time intervals were estimated to improve the percentage of reliability. © 2021, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.