Electro-hydraulic injectors (EHI) are the most vulnerable components of the common rail injection system of a modern diesel engine. As a rule, the injectors’ diagnostics begins with the analysis of data of the automobile scanner. These data include the current of the high-pressure pumpmetering device, adjustment of fuel pulsewidth when balancing the engine cylinders. A comprehensive analysis carried out by means of a car scanner can be possible only if a pressure sensor is positioned in the control chamber of the injector of the common rail injection system. There are such systems, however the majority of cars, not equipped with them. The scanner data may be influenced by the technical state both of the engine and of the metering device. Consequently, it can be impossible to assess the technical state of the injectors only by means of the car scanner data. It is known that the technical state of the common rail injector is characterized by such indicator as individual fuel back drain. There is a method of measuring the injectors’ individual leakages by back flow measuring, but it can be applied only if there is an access to individual drain nozzles of EHIs. In many existing common rail injection systems the injectors are located inside the engine, the access to them is hindered. Respectively, only the common return line access is available. High-quality diagnostics of injectors in such systems is possible only with the use of specialized testers, which inevitably leads to increased costs conditioned by disassembling and fitting. To reduce the time of diagnosing electro-hydraulic injectorssignificantly, a method of determining their individual backflow by the common return line was developed.
This position paper provides a new insight into the smooth and precise adaptive railway transport braking system design. The first phase of the development is described and includes a development of a necessary mathematical and computer model. Components of new adaptive braking system and their interactions are defined. Mathematical model contains equations that describe the movement of the train and the pneumatics braking system of the train, as well as offering new features of the developed system, which will adaptively adjust the service brake modes and will perform real-time system diagnostics without any human interaction. The computer model and simulation results are described in this position paper.
The simulation of two models of compression generator (magnetic and non-magnetic steel in the rotor drum) has been performed using non-linear models for transient and field analysis. There is shown that generator with ironkee rotor has a slight reduction of output energy and has a reserve for specific energy increase in account of stronger field of initial excitation.
To effectively manage the traffic flow in order to reduce traffic congestion, it is necessary to know the volumes and quantitative indicators of this flow. Various detection methods are known for detecting a vehicle in a lane, which, in turn, have their own advantages and disadvantages. To detect vehicles and analyse traffic intensity, the authors use a pulse coherent radar (PCR) sensor module. Testing of various modes of operation of the radar sensor was carried out to select the optimal mode for detecting vehicles. The paper describes a method for fixing vehicles of different sizes, filtering and separating the vehicle from the traffic flow. The developed vehicle detection device works in conjunction with signal traffic lights, through which traffic control takes place. The signal traffic lights, which have their own sensors and control units, communicate with each other via a radio channel; there is no need for cable laying. The system is designed to work on road maintenance sites. The paper describes the experimental data when testing on a separate section of the road. The experiment showed the advantage of traffic lights (cars passed the regulated traffic light faster) from the point of view of calculating the traffic flow over the normal traffic light operation. Reducing downtime in traffic jams, in turn, has a beneficial effect on the environmental situation, since at the moment internal combustion engines prevail in vehicles.
Abstract. In this paper authors present heuristics algorithm for precise schedule fulfilment in city traffic conditions taking in account traffic lights. The algorithm is proposed for programmable controller. PLC is proposed to be installed in electric vehicle to control its motion speed and signals of traffic lights. Algorithm is tested using real controller connected to virtual devices and real functional models of real tram devices. Results of experiments show high precision of public transport schedule fulfilment using proposed algorithm.
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