{"title":"Maintenance scheduling for Diesel Generator support system of Container Crane using system dynamic modeling","authors":"Hayi Widarto, D. W. Handani","doi":"10.1109/ICAMIMIA.2015.7508029","DOIUrl":"https://doi.org/10.1109/ICAMIMIA.2015.7508029","url":null,"abstract":"The number of container ships arrived to the container terminals in Port of Tanjung Perak Surabaya increase continuously year by year. The supporting infrastructures, including CC (Container Crane), are required to serve the loading-unloading of containers. This final project attempted to answer these demands by planning the maintenance schedules for CC Diesel Generator fuel and lubricating systems. Maintenance scheduling is important because it will be adapted to the CC operational pattern so that the maintenance activities as much as possible not to disturb the loading-unloading schedule. System dynamics method is used for modeling the behavior of the system so that proper scheduling can be obtained through the mechanism of determining the minimum reliability index value and availability. In addition to the total cost of the operation, that consists of running, maintenance, and downtime costs, will also become a consideration in determining the maintenance schedule. From the modeling, maintenance scheduling for the component such as fuel pump is every 4578 hours (for CC 1 and 2) and 4296 hours (for CC 3), separator is every 1453 hours (for CC 1 and 2) and 1439 hours (for CC 3), PT Pump is every 10169 hours (for CC 1 and 2) and 7774 hours (for CC 3), injector is every 4065 hours (for CC 1 and 2) and 3887 hours (for CC 3), oil pump is every 13559 hours for (CC 1 and 2) and 19435 hours for (CC 3). Then, for the other components such as fuel filter, oil filter and bypass oil filter which includes non-repairable component, will be replaced by the new one in every 256 hours for CC 1, 256 hours for CC 2, and 256 hours for CC 3.","PeriodicalId":162848,"journal":{"name":"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130554282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"(La,Sr)(Co,Fe)O3-(Ce,Gd)(Sr)O2 electrospun nanofiber composite cathode for solid oxide fuel cells","authors":"I. D. Wijayanti, C. Chou","doi":"10.1109/ICAMIMIA.2015.7508030","DOIUrl":"https://doi.org/10.1109/ICAMIMIA.2015.7508030","url":null,"abstract":"La<sub>0.6</sub>Sr<sub>0.4</sub>Co<sub>0.2</sub>Fe<sub>0.8</sub>O<sub>3-δ</sub> (LSCF)-Ce<sub>0.78</sub>Gd<sub>0.2</sub>Sr<sub>0.02</sub>O<sub>2-δ</sub> (GDCSr) electrospun nanofibers composite cathode which was screen printed on GDCSr electrolytes were studied for application in intermediate temperature SOFC. Impedance spectroscopy measurements were performed in ambient air over a temperature range from 500-800°C. The addition of 20wt.% GDCSr nanofiber to LSCF resulted in an increasing of 40% porosity value which enhance the electrochemical properties by providing much amount of triple phase boundaries. The nanofiber composite cathode exhibits an increasing exchange current density and a decreasing cathode polarization resistance. Nanofiber GDCSr plays an important role as a porosity controller and an ionic pathway for oxygen ion diffusion inside the composite cathode structure.","PeriodicalId":162848,"journal":{"name":"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132488279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A remote control system for channel configuration on weather station over TCP/IP network","authors":"B. Sugiarto, Elan Djaelani","doi":"10.1109/ICAMIMIA.2015.7508006","DOIUrl":"https://doi.org/10.1109/ICAMIMIA.2015.7508006","url":null,"abstract":"In a weather station, it is needed a network to transmit the data of weather condition from sensors to the base station in a long distances. For the wired network, TCP/IP protocol is widely used in data transfer for weather station. Usually in some cases, we are required to interchange weather sensors in different channels and set up the threshold limit. This threshold limit is used to know which sensor measure the highest condition level and will give the warning alarm to user in base station. This paper propose a remote control system for setting weather station configuration using TCP/IP network remotely. In this purpose system, we can control the sensor channels and set up the threshold limit to the weather station controller remotely. By using the java socket programming, the data packet can be transmitted for the new configuration. For this research, we use client-server mode to arrange the transmission line of request and the response message between the devices. Through the network evaluation, we also analyze the effect of the data packet on this remote control program in TCP/IP network.","PeriodicalId":162848,"journal":{"name":"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114449600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of greenhouse autonomous control system for Home Agriculture project","authors":"M. Amir, Abas, M. Dahlui","doi":"10.1109/ICAMIMIA.2015.7507993","DOIUrl":"https://doi.org/10.1109/ICAMIMIA.2015.7507993","url":null,"abstract":"This paper presents two autonomous control designs for Home Agriculture project. The first control is required for safeguarding the greenhouse from intruders especially monkeys. In tropical country animals are living in the garden, park and nearby houses. The control system safeguard the greenhouse by triggering siren and electric fence through motion sensor. The control also cut off the power of the Electric Fence Charger when there is no intruder detected. This will ensure the batteries is fully charged during day time. The second control is used to manage irrigations system for greenhouse. This unique control involves with feedback using weather condition. Three sensors namely temperature, humidity and pyranometer are used to provide signals that are known as multiplying factor for the control algorithm to perform autonomous adjustment for the next irrigation time. The algorithm involves with a constant K which is applied as time setting for daily irrigation. The time setting autonomously changed associated with the changes of weather such as dry climax, raining and hot weather. The control algorithm has been tested and the result shows the management of soil moisture through weather feedback element is economically improved and would be possible to increase yearly crop yield.","PeriodicalId":162848,"journal":{"name":"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132904783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recent results of robotics R & D in the Indonesian Institute of Sciences: Mobile robot, articulated robot, pan tilt mechanism, and object recognition","authors":"E. Rijanto, H. Saputra, M. Mirdanies","doi":"10.1109/ICAMIMIA.2015.7508024","DOIUrl":"https://doi.org/10.1109/ICAMIMIA.2015.7508024","url":null,"abstract":"This paper outlines recent results of robotics research and development (R & D) in the Indonesian Institute of Sciences (LIPI). Research prototypes of mobile robot equipped with articulated robot and pan tilt mechanism (PTM) for remote controlled weapon systems (RCWS) have been developed. R & D has been carried out concerning mechanical structure, kinematics, dynamics, motion control, trajectory planning, object recognition, and data communication. Some important results are reported including trajectory planning of mobile robot which minimizes energy consumption, positioning control, PTM stabilization using Inertial Measurement Unit (IMU), and object recognition using Scale Invariant Feature Transform (SIFT). Presently conducted R & D activities are also presented including control of Brushless DC motor (BLDC) and 32 bit data communication method through 8 bit ports between microcontrollers in the RCWS. From the experiment results it can be concluded that PWM reference signal is not suitable for directly replacing analog speed reference signal of the BLDC motor. Experiment results proved that the developed method of 32 bit data transmission through 8 bit ports functions well without error or data loss.","PeriodicalId":162848,"journal":{"name":"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131330866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detection of obstacles in the path planning module using differential scene flow technique","authors":"S. Francis, S. Anavatti, M. Garratt","doi":"10.1109/ICAMIMIA.2015.7508002","DOIUrl":"https://doi.org/10.1109/ICAMIMIA.2015.7508002","url":null,"abstract":"The paper shows the novel way of detecting the obstacles, so that the intelligence of the autonomous vehicle (AV) can be enhanced for the path planning module. Path planning in cluttered environment has been considered as the main challenge in the field of autonomous vehicles. These vehicles need to be intelligent enough to recognize their surroundings and avoid the obstacles effectively. In cluttered environment, the AV requires the comprehensive perception of the environment to avoid the obstacles. So it is better to know about the kinematic behaviour of the obstacles while planning their path. Hence, the orientation of moving obstacle is estimated based on comparing the 3D range images between successive time frames. These 3D range information are acquired from a single vision sensor. The paper uses the differential scene flow technique to extract the flow vectors in 3D coordinates. Gradient Vector Field (GVF) method is utilized effectively in scene flow to extract changes in pixel values in the three directions which are used to recognize the obstacles. Our aim is to develop an autonomous path planning algorithm with closed-loop motion control based on scene flow which rely on a single vision sensor and an on-board hardware. Experimental results are discussed finally.","PeriodicalId":162848,"journal":{"name":"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133626303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and analysis of motion control system in the fin and the propulsion system of the Autonomous Underwater Vehicle (AUV) using Cross Coupled Control","authors":"Wahyuni Ningsih, Subchan, H. Nurhadi","doi":"10.1109/ICAMIMIA.2015.7508018","DOIUrl":"https://doi.org/10.1109/ICAMIMIA.2015.7508018","url":null,"abstract":"Part of Unmanned Underwater Vehicle that can move without controlling by human and non-tethered is the Autonomous Underwater Vehicle. Movement of 6 degrees of freedom of AUV is necessary to control so that the AUV can maneuver well. Therefore, the AUV can usually be used for security systems, surveillance, and exploration of natural resources in the sea. Controlling the movement of AUV discussed in this paper is done with the other approach. It is through a mathematical model of the propulsion system and fin system that sequentially arranged angular velocity of propeller and angular position of fin in AUV. An instrument of AUV that set the angular velocity of the propeller on the propulsion system is a dc motor. And an instrument of AUV that setangle position of the fin in the fin system is a servomotor. Controlling is did on that instruments using Cross Coupled Control. Through the stability analysis using root locus, Nyquist and bode diagram, the results of cross-couple control of the system shows that the system is asymptotically stable.","PeriodicalId":162848,"journal":{"name":"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129852912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A neural network based maximum power point tracker with KY converter for photovoltaic system on a moving vehicle","authors":"A. Kurniawan, E. Haryanto, A. Masroeri","doi":"10.1109/ICAMIMIA.2015.7508014","DOIUrl":"https://doi.org/10.1109/ICAMIMIA.2015.7508014","url":null,"abstract":"The application of photovoltaic system on the ship may reduce the operational cost and pollution caused by fossil fuel. In order to optimize the efficiency of the PV system, an appropriate maximum power point tracking (MPPT) must be implemented on the system. The MPPT must have fast response to overcome the rapid changes of solar irradiance due to ship movement or natural occurrence. In this paper, a combination of artificial neural network based MPPT and KY converter is proposed. The proposed method has been validated with a computer based simulation. The results show that the proposed method can optimize the PV system performance with a fast response to the change of sun irradiance.","PeriodicalId":162848,"journal":{"name":"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125531827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of electrical Kinetic Energy Recovery System (KERS) on motorcyle","authors":"B. Sampurno, A. Abdurrakhman, Herry Sufyan Hadi","doi":"10.1109/ICAMIMIA.2015.7508017","DOIUrl":"https://doi.org/10.1109/ICAMIMIA.2015.7508017","url":null,"abstract":"Motor vehicles in general are still much the rest of the energy is wasted when operated. One of wasted energy is the kinetic energy existing at the time of braking the vehicle. The more the vehicle is braking during running, the greater the potential kinetic energy that can be generated, so that the energy conservation system can be applied to these conditions. Currently there has been some hybrid vehicle system that can realize the energy conservation systems, one of which is the Kinetic Energy Recovery System (KERS). KERS method widely used in car, while applications on two-wheel motor vehicles are still limited to the mechanical KERS that efficiency is still relatively low. So in this study will be discussed about the design and simulation of electrically KERS implemented on two-wheeled vehicles. The design of this KERS used in the form of an electric motor drive system to rotate the wheels with the transmission pulley and belt. The electric motor will automatically be changed into a generator when braking the vehicle. While the source of electrical energy is used to rotate the electric motor is derived from the engine speed is connected to the generator and the electrical energy stored in the battery. In this study generated out of the current value of 26.12 Ampere generators and voltage of 67.96 volts when the engine in the optimum state. The maximum electric current generated from braking is four times as big as 573 watts, 582 watts, 2300 watts and 593 watts. Voltage generated from the braking vehicle is worth fluctuate and be different according to the input given, so that the design of KERS this added voltage stabilizer that can help become more stable before it is stored in the battery.","PeriodicalId":162848,"journal":{"name":"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122677362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Navigation and guidance control system of AUV with trajectory estimation of linear modelling","authors":"T. Herlambang, E. Djatmiko, H. Nurhadi","doi":"10.1109/ICAMIMIA.2015.7508028","DOIUrl":"https://doi.org/10.1109/ICAMIMIA.2015.7508028","url":null,"abstract":"This paper put forwards a study on the development of navigation and guidance systems for AUV. The restriction in AUV model and estimation on the degree of freedom are recognized as the common problem in AUV's navigation and guidance systems. In this respect a linear model, derived from the linearization using the Jacobian matrix, will be utilized. The so obtained linear model is then estimated by the Ensemble Kalman Filter (EnKF). The implementation of EnKF algorithm on the linear model is carried out by establishing two simulations, namely by generating 300 and 400 ensembles, respectively. The simulations exhibit that the generation of 400 ensembles will give more accurate results in comparison to the generation of 300 ensembles. Furthermore, the best simulation yields the tracking accuracy between the real and simulated trajectories, in translational modes, is in the order of 99.88%, and in rotational modes is in the order of 99.99%.","PeriodicalId":162848,"journal":{"name":"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)","volume":"23 s1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120839272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}