Academic literature on the topic 'Synchronous Dynamic RAM'
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Journal articles on the topic "Synchronous Dynamic RAM"
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Mandavi, Katare*1 &. Ass. Pro. Ankit Chouhan2. "A REVIWE ARTICLE OF SDRAM DESIGN WITH NECESSORY CRITERIA OF DDR CONTROLLER." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 6 (2017): 333–37. https://doi.org/10.5281/zenodo.809195.
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Double Data Rate Synchronous DRAM (DDR SDRAM) has become a mainstream memory of choice in design due to its speed, burst access and pipeline features. The DDR SDRAM is an enhancement to the conventional SDRAM running at bus speed over 75MHz. The DDR SDRAM (referred to as DDR) doubles the bandwidth of the memory by transferring data twice per cycle on both the rising and falling edges of the clock signal. The designed DDR Controller supports data width of 64 bits, Burst Length of 4 and CAS (Column Address Strobe) latency of 2. DDR Controller provides a synchronous command interface to the DDR SDRAM Memory along with several control signals. In this paper, the implementation has been done in Verilog HDL by using Xilinx ISE 9.2i and Modelsim 6.4b.
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Sowmya, K. B., and P. Gagana. "A system verilog approach for verification of memory controller." International Journal of Reconfigurable and Embedded Systems 9, no. 2 (2020): 153–57. https://doi.org/10.11591/ijres.v9.i2.pp153-157.
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Memory performance has become the major bottleneck to improve the overall performance of the computer system. By using memory controller, there is effective control of data between processor and memory. In this paper, a memory controller for interfacing Synchronous Static Random Access Memory (SSRAM), Synchronous Dynamic Random Access Memory (SDRAM), Read Only Memory (ROM) and FLASH which is Electrically Erasable Programmable Read-Only Memory is designed and a coverage driven Constraint random verification environment is built for the designed memory controller. Verification plays an important role in any design flow as it is done before silicon development. It is done at time of product development for quality checking and bug fixing in design.
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Dang, Binh, Minh Bui, Nguyen Trinh Vu Dang, and Linh Tran. "Parameterized SDRAM-based content-addressable memory on field programmable gate array." Indonesian Journal of Electrical Engineering and Computer Science 31, no. 2 (2023): 669. http://dx.doi.org/10.11591/ijeecs.v31.i2.pp669-680.
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Contents-addressable memory (CAM) is a special memory that searches the input data with the entire pre-loaded database and generates corresponding address information. CAMs are advancing to be a core technology in computer networking systems. As field programmable gate array (FPGA) is recently being used for network acceleration applications, the demand to integrate CAM on FPGA is increasing. FPGA-based CAMs are divided into three categories of implementation: register-based, block RAM (BRAM)-based, and distributed RAM-based CAM. However, they come with a cost of excessive resource usage. Besides, the collision ratio is high in FPGA-based CAMs, leading to data loss and failure to produce accurate addresses. Synchronous dynamic random-access memory (SDRAM)-based CAMs, benefiting from the features of high density and low price of SDRAM, solve the limitations of FPGA’s on-chip resources. This paper proposes a data collision CAM hardware implementation using modern FPGA’s off-chip SDRAM for data storage. The hardware architecture is customized for massive lookup tables and resource-saving. Furthermore, the architecture is parameterized, which is better for integration. The synthesis results and comparisons show significant advancement compared to other FPGA-based CAM implementations by total reduction of on-chip RAM. The novel architecture shows remarkable improvement in the memory depth and width with the capacity of 128 Mbyte lookup table.
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Binh, Dang, Bui Minh, Trinh Vu Dang Nguyen, and Tran Linh. "Parameterized SDRAM-based content-addressable memory on field programmable gate array." Parameterized SDRAM-based content-addressable memory on field programmable gate array 31, no. 2 (2023): 669–80. https://doi.org/10.11591/ijeecs.v31.i2.pp669-680.
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Contents-addressable memory (CAM) is a special memory that searches the input data with the entire pre-loaded database and generates corresponding address information. CAMs are advancing to be a core technology in computer networking systems. As field programmable gate array (FPGA) is recently being used for network acceleration applications, the demand to integrate CAM on FPGA is increasing. FPGA-based CAMs are divided into three categories of implementation: register-based, block RAM (BRAM)- based, and distributed RAM-based CAM. However, they come with a cost of excessive resource usage. Besides, the collision ratio is high in FPGA-based CAMs, leading to data loss and failure to produce accurate addresses. Synchronous dynamic random-access memory (SDRAM)-based CAMs, benefiting from the features of high density and low price of SDRAM, solve the limitations of FPGA’s on-chip resources. This paper proposes a datacollision CAM hardware implementation using modern FPGA’s off-chip SDRAM for data storage. The hardware architecture is customized for massive lookup tables and resource-saving. Furthermore, the architecture is parameterized, which is better for integration. The synthesis results and comparisons show significant advancement compared to other FPGA-based CAM implementations by total reduction of on-chip RAM. The novel architecture shows remarkable improvement in the memory depth and width with the capacity of 128 Mbyte lookup table
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Zhang, Jiaqi, Molin Jia, Noriyoshi Yamauchi, and Takaaki Baba. "Design and Implementation of a Mobile Multihop WSN for AGV System." International Journal of Digital Multimedia Broadcasting 2010 (2010): 1–12. http://dx.doi.org/10.1155/2010/108726.
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A system data sharing protocol of mobile WSN named synchronous dynamic multihop data sharing protocol (S-DMDS) is presented for automated guided vehicle (AGV) system. It is a cross-layer protocol designed from route layer to MAC layer. By adopting a concept of system data sharing, it is possible to make each node exchange the data timely with all the other nodes. It is also a topology-agnostic protocol which has no knowledge of neighbors, routes, or next hops. From the results of the 16-nodes simulation, S-DMDS protocol is proved to be efficient exchange data timely between the devices of AGV system in mobile multihop situation. Moreover, it also shows that S-DMDS significantly outperforms NST-AODV with investing about 41.6% system sharing delay as well as 80% RAM consumption. At last, 5-node experiment indicates that S-DMDS can work well in real environment.
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Lu, Yuan, Xiao Ou Song, and Xiao Li Lu. "The Study of the Digital Three-Phase Phase-Locked Loop in the Photovoltaic Grid System." Applied Mechanics and Materials 401-403 (September 2013): 1571–74. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1571.
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In order to track the phase of the voltage of the grid quickly and accurately in the photovoltaic grid system, a digital three-phase phase locked loop optimization method that can be completed by FPGA, which can lock the in a short time and adjust the power system voltage phase to the synchronization with the grid voltage. This design consists of three-phase phase detector, comparator and bit phase locking circuit. The principle of synchronous rotating coordinate transformation and lookup table of RAM are used to adjust the phase error more and more fine-tune. The adjustment of the phase is controlled by the waveform output of driver without analog circuit, besides the ability of anti-jamming is improved by the full digital designation and the dynamic characteristics is better. The system is simulated with MATLAB/Simulink and the given results show that this method greatly shorten the time needed for adjusting the phase difference. Obviously the precision of the system has been improved and then the effectiveness of the proposed method was verified.
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Río, Alberto del, Javier Serrano, David Jimenez, Luis M. Contreras, and Federico Alvarez. "A Deep Reinforcement Learning Quality Optimization Framework for Multimedia Streaming over 5G Networks." Applied Sciences 12, no. 20 (2022): 10343. http://dx.doi.org/10.3390/app122010343.
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Media applications are amongst the most demanding services. They require high amounts of network capacity as well as computational resources for synchronous high-quality audio–visual streaming. Recent technological advances in the domain of new generation networks, specifically network virtualization and Multiaccess Edge Computing (MEC) have unlocked the potential of the media industry. They enable high-quality media services through dynamic and efficient resource allocation taking advantage of the flexibility of the layered architecture offered by 5G. The presented work demonstrates the potential application of Artificial Intelligence (AI) capabilities for multimedia services deployment. The goal was targeted to optimize the Quality of Experience (QoE) of real-time video using dynamic predictions by means of Deep Reinforcement Learning (DRL) algorithms. Specifically, it contains the initial design and test of a self-optimized cloud streaming proof-of-concept. The environment is implemented through a virtualized end-to-end architecture for multimedia transmission, capable of adapting streaming bitrate based on a set of actions. A prediction algorithm is trained through different state conditions (QoE, bitrate, encoding quality, and RAM usage) that serves the optimizer as the encoding values of the environment for action prediction. Optimization is applied by selecting the most suitable option from a set of actions. These consist of a collection of predefined network profiles with associated bitrates, which are validated by a list of reward functions. The optimizer is built employing the most prominent algorithms in the DRL family, with the use of two Neural Networks (NN), named Advantage Actor–Critic (A2C). As a result of its application, the ratio of good quality video segments increased from 65% to 90%. Furthermore, the number of image artifacts is reduced compared to standard sessions without applying intelligent optimization. From these achievements, the global QoE obtained is clearly better. These results, based on a simulated scenario, increase the interest in further research on the potential of applying intelligence to enhance the provisioning of media services under real conditions.
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Xue, Ke, Tao Yu, Yanlin Sui, et al. "Research and Implementation of a Demodulation Switch Signal Phase Alignment System in Dynamic Environments." Sensors 23, no. 22 (2023): 9144. http://dx.doi.org/10.3390/s23229144.
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In the space gravitational wave detection mission, inertial sensors play the role of providing an inertial reference for the laser interferometric measurement system. Among them, the capacitance sensor serves as the core key technology of the inertial sensor, used to measure the relative position of the test mass (TM) in the electrode cage. The capacitance sensor utilizes synchronous demodulation technology to extract signals from the AC induction signal. When the phase of the demodulation switch signal is aligned, the synchronous demodulator can most effectively filter out noise, thus directly influencing the performance of the capacitance sensor. However, since the TM is in a suspended state, the information read by the capacitance sensor is dynamic, which increases the difficulty of demodulation phase alignment. In light of this, a method is proposed for achieving the phase alignment of the demodulation switch signal in a dynamic environment. This is accomplished by adjusting the phase of the demodulation switch signal, and subsequently computing the phase difference between the AC induction signal and the demodulation switch signal. At the same time, a measurement and evaluation method for phase deviation is also proposed. Ultimately, an automatic phase alignment system for the demodulation switch signal in dynamic environments is successfully implemented on an FPGA platform, and tests are conducted on a hexapod PI console platform to simulate dynamic environments. The experimental results demonstrate that the system accurately achieves phase alignment in the static environment, with a phase deviation of 0.1394 rad. In the simulated dynamic environment, the phase deviation is 0.1395 rad.
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Angel, Basil, and Maharajan Duraisamy. "Dynamic State Estimation of Electric Power Systems Using Kalman Filtering Techniques." Journal of Physics: Conference Series 2335, no. 1 (2022): 012053. http://dx.doi.org/10.1088/1742-6596/2335/1/012053.
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Abstract The Kalman filter (KF) algorithm analyses power system state estimation using a number of specific equations to reduce the mean squared error. The Kalman filter is used to calculate the dynamic states of a power system network, including voltage and its angle at all buses (rotor angle) with respect to a synchronously rotating reference frame (in radians) and relative angular speed (in rad./sec) of all the generators in the system. Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) approaches were developed on the Anderson & Fouad 9-bus test power system in this proposed work, and the performance of the aforementioned techniques was examined for state estimation effectiveness.
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Li, Zheng, Zhirong Su, Haibo Wang, Shenhui Du, and Hexu Sun. "Design and Locomotion Study of Two-DOF Actuator Driven by Piezoelectric–Electromagnetic Hybrid Mode." Sensors 22, no. 10 (2022): 3739. http://dx.doi.org/10.3390/s22103739.
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A piezoelectric actuator (PEA) has the characteristics of high control precision and no electromagnetic interference. To improve the degree of freedom (DOF) to adapt to more working scenes, a piezoelectric–electromagnetic hybrid-driven two-DOF actuator is proposed. The PEA adopts the composite structure of the lever amplification mechanism and triangular amplification mechanism. The structure effectively amplifies the output displacement of the piezoelectric stack and increases the clamping force between the driving foot and the mover. The electromagnetic actuator (EMA) adopts a multi-stage fractional slot concentrated winding permanent magnet synchronous actuator, which can better match the characteristics of PEA. The structure and working principle of the actuator are introduced, the dynamic analysis is carried out, and the factors affecting the clamping force are obtained. At the same time, the air gap magnetic field is analyzed, and the structural size of the actuator is optimized. The experiment shows that the maximum driving speed can reach 348 mm/s, the load capacity is 3 kg, the optimal initial rotor angle is 49°, the maximum torque is 2.9 N·m and the maximum speed is 9 rad/s, which proves the stability and feasibility of the actuator.
Book chapters on the topic "Synchronous Dynamic RAM"
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Rigaud, Solange. "Personal ornaments and shell artifacts." In Klimonas. CNRS Éditions, 2024. http://dx.doi.org/10.4000/129kl.
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The personal ornaments identified at Klimonas are very diverse. Raw materials, including shells, bone, teeth and stones, were locally acquired on the island. A study of the manufacturing process indicates that shell and stone ornaments were the result of domestic productions performed in the village. The functional data indicate that raw materials (blanks, preforms, finished and used objects) were deposited in various structures throughout the three sectors. Certain shell and stone ornaments had a particular function related to their deposition in specific architectural units. Picrolite production, largely represented in the stone materials used in bead manufacturing, did not evidence any difference between the three sectors, in contrast to shells. The malacological spectrum identified in each sector was dominated by different species, suggesting that decorated items used in the village, including in the Communal building and building B800, varied. These differences may be related to the activities performed in each sector, involving the use of various decorated objects, or to the shifting frequentation of the sectors. The disparities observed between the three sectors also result from the type of ornaments deposited in the village structures. The functional data indicate that many of the hidden objects show evidence of use prior to their deposit, suggesting that a part of the daily symbolic life was permanently sealed in the buildings. Comparisons with the personal ornaments used by the Epipaleolithic communities and the successive villagers who settled on the island during the Cypro-PPNA and Cypro-PPNB show the persistence of many raw materials for bead production but changes in bead styles. Some of these variations find marked and synchronous correspondence with changes in the personal ornaments of the continental pre-pottery societies. Shared dynamics with the mainland indicate that the ornamentation of the Cypriot pre-ceramic societies was subject to different forms of cultural influences linked to an extended sphere of continental interactions. Several mechanisms may have contributed to these distinct interactions. The successive arrival of several waves of continental travelers, specialized craftspeople, or indirect contacts via intermediate coastal populations may have influenced the renewal of personal ornaments over time.
Conference papers on the topic "Synchronous Dynamic RAM"
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Parry, Adam, Brandon Hencey, and Jon Zumberge. "Model Predictive Control for a Synchronous Machine With a Pulsed, Constant-Power Load." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3110.
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Abstract In this paper, the problem of controlling synchronous machines driving high pulsed, constant-power loads (CPLs) with fast ramp rates is investigated. Using a PI controller to provide offset-free tracking of the generator voltage in steady state, we design controllers using Model Predictive Control which act as a reference governor to ensure power quality constraints are met during transients. However, it is shown that a standard linear MPC algorithm creates a steady state offset due to model mismatch at off-nominal power levels resulting in loss of power quality. This problem is corrected by creating multiple linear models of the generator dynamics linearized around the nominal and high power operating points. We then demonstrate that a Hybrid Model Predictive Control algorithm (using the constrained piecewise affine prediction model) exhibits zero offset during the high power pulse. The Hybrid MPC algorithm also keeps the generator voltage within the required constraints. This approach has the benefit of correcting the model mismatch issue without using a computationally expensive nonlinear Model Predictive Control algorithm. Future work will focus on implementing and testing this hybrid MPC controller on a generator via explicit MPC techniques.
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Nickel, D. A., and Charles M. Krousgrill. "Experimental and Analytical Study of X-Ray Tube Rotor Dynamics." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0035.
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Abstract An X-ray tube rotor has been analyzed, using experimental and numerical methods, as a part of an effort to diagnose an intermittent acoustic noise problem. The type of rotor studied is supported by two solid-lubricated angular contact bearings, and operates in a vacuum. Experimental studies of rotor vibration were performed using a test fixture with radio frequency proximity sensors. Coast-down studies indicated the presence of both synchronous and sub-harmonic whirl, along with a tendency for the nature of response to change rapidly during operation. Two ODE (ordinary differential equation) models: a three-dimensional four-degree-of-freedom model and a one-dimensional one-degree-of-freedom model were derived. Large bearing clearances were a significant source of stiffness nonlinearity in both. Direct ODE solution was used to analyze both models. Parametric continuation was also used to find periodic solutions to the one-degree-of-freedom model for different sets of parameter values. The simulations were performed with geometric and stiffness properties representative of the X-ray tube rotor. Small damping was assumed because of the solid lubricant. Direct ODE solutions showed a variety of synchronous and subharmonic periodic motions. Multi-branch frequency response curves were computed using continuation. Qualitative agreement between experimental and numerical results was obtained in terms of tendency to jump, frequency at which multivaluedness was first observed, and existence of subharmonic solutions.
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Sebastião, Xavier P., Renan R. de Oliveira, Waldir Moreira, and Antonio Oliveira-Jr. "Channel-Aware Federated Analytics in B5G/6G Networks: Dynamic Power Allocation with NS-3 5G-LENA." In Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação, 2025. https://doi.org/10.5753/sbrc.2025.6372.
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Federated Analytics (FA) is an approach for preserving security and privacy by implementing collaborative analysis of data from distributed devices without sharing raw data. However, when FA operates over wireless transmission, challenges such as interference, signal degradation, and network congestion may arise. These factors can make the wireless transmission unreliable, introducing delays and causing corruption in responses and updates received at the central server, thereby impacting the quality of the final aggregated FA results. This work proposes an integrated framework to simulate FA in real 5G conditions using NS-3 5G-LENA. It applies two algorithms: a channel-aware power allocation algorithm for optimized transmission power allocation and a synchronous FA-5GLENA algorithm for the FA and 5G-LENA integration. Simulation results show the channel-aware algorithm outperforms uniform and random power allocation in both network and FA performance. FA accuracy reached 93.17 %, precision 93.31 %, and recall 93.09 %, statistically significantly higher than uniform (55.96 %, 56.02 %, 55.90 %) and random (42 %, 42.02 %, 41.96 %) allocation. These findings demonstrate the algorithm’s superiority in enhancing FA within 5G networks.
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Kumar, Rajiv, Michael Merkle, and Thomas Leibfried. "A New Approach for Investigation of the Turbine Generator Oscillatory Behavior Affecting Power System Quality and Reliability." In ASME 2004 Power Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/power2004-52167.
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Transients following switching in the network and/or the tripping of generating unit auxiliaries can excite oscillatory torques on the turbine-generator-rotor-shaft system. The oscillations can be damped or amplified with time. Damped oscillations affect the power quality and if the oscillations grow with time they may even lead to generating unit outages (and damages) resulting in possible system instabilities. Deregulation of electricity markets has resulted in separation of Utility Companies (responsible for power generation) and Transmission Companies (responsible for power transmission). The decision making is no more under the same umbrella. Companies on both the sides have severe cost reduction focus and each side is tempted to make independent decision favourable to it. The Transmission Companies want to enhance transmission capacity of existing systems by introducing measures like series capacitor compensation. However incorporation of series capacitor compensation may under certain conditions lead to oscillations and also snbsynchronous resonance. Currently, there is an urgent need to establish a systematic methodology to investigate the root cause of such oscillations so that preventive measures can be taken by both the Utility Companies and the Transmission Companies. This paper is a contribution in this direction. In this work, comprehensive dynamic model of synchronous generator system has been developed in software Matlab/Simulink. Generating unit start up and ramp loading to rated load has been simulated to get deeper insight into the oscillatory behaviour of the synchronous generator. Block loading of the turbine generator and sudden load shedding due to auxiliary trip have been investigated in detail. Further, power system network with bus connected parallel generating units and parallel transmission lines, having different series capacitor compensation ratio have been simulated in power system software NETOMAC. Transient conditions have been modelled to investigate the oscillations and the consequent torsional torques and angles between adjacent masses of the rotor shaft system causing fatigue life reduction. This work has very clearly revealed the complex dynamic interrelationship among variables responsible for power system oscillations.
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Vance, John M., J. J. Zierer, and E. M. Conway. "Effect of Straight Through Labyrinth Seals on Rotordynamics." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0190.
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Abstract Experimental measurements have been made to evaluate the rotordynamic performance of straight-through labyrinth seals under conditions that are realistic for many turbomachines. Both teeth-on-rotor and teeth-on-stator gas seals were tested, each with twelve blades, 173 mm (6.8″) blade diameter, and 102 mm (4″) total length. The nominal blade tip clearance was 0.5 mm (20 mils). The teeth-on-stator seal was tested with the blade tip clearances diverging (in the direction of the flow), uniform, and converging. The teeth-on-rotor seal was tested with uniform clearances. The inlet air pressure to the seals was varied from 1.7 bar to 14.6 bar (25 psi to 200 psig) with the last blade exhausting to the atmosphere. Coastdown tests of all the seals were performed on a rotordynamic test rig to show their effect on synchronous response to imbalance when passing through a 3700 rpm critical speed. For the teeth-on-rotor seal, rap tests at 4500 rpm were also conducted to measure the effective damping coefficient for subsynchronous vibration. The synchronous response to imbalance was generally increased by all the seals at inlet pressures up to about 11.2 bar (150 psig). The worst case was for the teeth-on-rotor seal at about 2.7 bar (35–45 psi) inlet pressure where the rotor whirl amplitude was increased from .1 mm (3.75 mils, peak to peak) to over .13 mm (5 mils). In most cases the rotor whirl amplitude was slightly decreased at inlet pressures above 13 bar (176 psig). The teeth-on-rotor seal provided a small amount of damping to attenuate the 61 Hz subsynchronous vibration with the rotor running at 4500 rpm. A computer model which includes both the rotor and housing dynamics was developed to evaluate the possible range of values of the rotordynamic seal coefficients. Simulations show that the effective subsynchronous damping coefficient of the teeth-on-rotor seal ranges from 175 N-s/m at 5.1 bar inlet pressure (1 lb-s/in at 75 psi) to 876 N-s/m at 10.2 bar (5 lb-s/in at 150 psi). This corresponds to a range of 0.3% to 1.4% of critical damping added by the seal for subsynchronous vibration, even though the seal increased the synchronous response at the critical speed. It is shown that the orbit conditions for the synchronous and subsynchronous tests were radically different, as they likely will be in most turbomachines.
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Samuel, Robello, and Zhengchun Liu. "Bit Wear Prediction Using Adaptive Data Analytics: Dynamic Scenario for Real Time Well Engineering." In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216474-ms.
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Abstract As the wells become more complex, identifying the locations of critical bit wear becomes increasingly difficult. The analytical models currently used in the drilling industry are not capable of completely realizing the downhole dynamics and thus incapable of bit wear prediction – they either overestimate or are too conservative, while some just require too many parameters, constants and coefficients. There is no acceptable universal mathematical model that describes bit wear and thus this paper proposes not to use a model at all. This study focuses on harnessing the impact of real time downhole dynamics on drilling parameters to predict bit wear using adaptive data analysis techniques. Real time rate of penetration (ROP) is identified as a parameter that would demonstrate the impact of downhole dynamics with a high degree of functionality. Though other parameters can also be used, ROP is the basic parameter always available. Depending on the parameters available, different parameters can be convoluted together and fed to the algorithm. For instance, ROP and Gamma ray data can be convoluted in an appropriate way to predict bit wear and also predict whether the bit wear is due to formation change or not. The WITSML ROP and drilling data are continuously fed to an adaptive data analytics algorithm which decomposes the incremental ROP data at each depth into its intrinsic mode functions (IMF) using Empirical Mode Decomposition. The trend of the final IMF at each depth is continuously monitored to predict bit wear. For practical purposes of making the whole process fast and straightforward, the energy of the final IMF, referred as IMF energy, is also continuously computed. In either case, the depth and/or depth interval where the IMF energy becomes negative and/or where the trend of the final IMF plot flips is the depth and/or interval where the bit wear is high and may lead to failure. The proposed workflow has been tested on historical wells and the results are compared with analytical models (B. Rashidi et al 2010 (more conservative) and Z. Liu et al. 2014) used in the industry. The results were also verified with the Daily Drilling reports from the field to confirm the predictions of the algorithm presented. The results predicted were synchronous. The paper presents field examples to predict and estimate the bit wear using actual data. Estimation of rate of penetration (ROP) using the new bit wear model was also carried out using actual field drilling parameters. The calculated ROP profile closely matched with the actual data within reasonable accuracy of less than 5%. Specific procedures are proposed for drilling parameter estimation and effective prediction of ROP and bit life.