1,206 research outputs found
Application of vibration signal in the diagnosis of IC engine valve clearance
The article describes a concept of a non-invasive method for diagnosing the size of valve clearance in internal combustion engines, based on the analysis of engine surface vibration signals using artificial neural networks. The applicability of the method was tested on a single-cylinder compression-ignition engine with a low power rating, which had an OHV timing gear, acting indirectly on the valves, and manual adjustment of valve clearance. The method uses as diagnostic signals the readings of vibration sensors, which record the acceleration of engine head movement as a function of the angle of rotation of the crankshaft, with pre-set valve clearance values measured in a cold condition. From among the signals recorded, components corresponding to the impact of rocker arms against valve stems were identified and low-pass filtered in order to eliminate measurement interference. A classifier of selected features of the signals processed was constructed using artificial neural networks. This classifier recognizes signals generated by engines with correct valve clearance as well as those with too much and too little valve clearance
Application of the discrete wavelet transform and probabilistic neural networks in IC engine fault diagnostics
Around the world are continued attempts to use the vibroacoustic phenomena for purposes of diagnosis of machine condition. Particularly important becomes non-invasive methods including methods based on vibration and acoustic signals. Vibroacoustic phenomena, which relates to the working of technical objects, includes all necessary information connected with the technical condition. The biggest difficulty is the transformation of registered vibroacoustic signals and creation on their basic measures, which will be non-sensitive to any type of interference occurring during the operation of objects and recording signals. To the group of technical objects, for which are already conducted numerous studies all over the world, connected with use of vibroacoustic phenomena for diagnostic purposes which relates to the automotive drive systems, including combustion engines. Combustion engines during its working generate a whole range of vibroacoustic phenomena bringing information on the proper operation of the engine, as well as on condition of each of its elements. In a combustion engine, there are many sources of vibroacoustic phenomena, which contributes to the disruption of diagnostic information. The development of appropriate methods for vibroacoustic signal processing and complete diagnostic systems may allow future extension of the on-board diagnostics OBD system â currently in used cars. The most interesting would be the development of complex system for diagnosing the condition of the individual elements of the car engine operating by basing on information from vibroacoustic signals. In this article are shown results of research, which aim is to diagnose damages of mechanical elements of car combustion engine using vibration signals and artificial neural networks
Application of vibration signal in the diagnosis of IC engine valve clearance
The article describes a concept of a non-invasive method for diagnosing the size of valve clearance in internal combustion engines, based on the analysis of engine surface vibration signals using artificial neural networks. The applicability of the method was tested on a single-cylinder compression-ignition engine with a low power rating, which had an OHV timing gear, acting indirectly on the valves, and manual adjustment of valve clearance. The method uses as diagnostic signals the readings of vibration sensors, which record the acceleration of engine head movement as a function of the angle of rotation of the crankshaft, with pre-set valve clearance values measured in a cold condition. From among the signals recorded, components corresponding to the impact of rocker arms against valve stems were identified and low-pass filtered in order to eliminate measurement interference. A classifier of selected features of the signals processed was constructed using artificial neural networks. This classifier recognizes signals generated by engines with correct valve clearance as well as those with too much and too little valve clearance
Experts Knowledge Sharing System In Diagnosing Proton Car Engines
The proton car engine diagnosis system provides a broad range of technical
expertise from top engines diagnosticians assembled in Proton cars to the
mechanics or foremen at all Proton dealerships. The expertise provided by the
system includes problem identification, analysis and solution. Current scenario
that happened in service centre or at any dealership workshop is they still donât
have a proper system to share and keep the knowledge of expertise so that the
knowledge can be reused by others as well as can be retained in the company for
future use. Expertsâ mechanics that have highly experienced skills and nonexperts
mechanics that are still new and less experienced working together in a
certain location to do services and repair any problems happened to the cars.
However, there is time when the experts are not available and the non âexperts
donât have referees (experts) to be referred to about certain issues and then the
problems arise. When non experts do not know how to fix things correctly, thus
the mechanical faults will not being properly rectified thus leading to the
creation of another fault which will significantly cause Proton customers to
spend unnecessarily in getting their vehicle fixed. After recognising this problem
matters, study had been conducted in order to produce a proper system that can
be used as the knowledge sharing centre for the users at every level. Findings
based on the survey and interviews had gave the system developer more ideas to
further understand on the system functionalities and system development
processes. Right after the development phase, the system had been tested by the
users and the feedback was very impressive and there were few
recommendations given by the users for the system improvements
Internal Combustion Engines
This book on internal combustion engines brings out few chapters on the research activities through the wide range of current engine issues. The first section groups combustion-related papers including all research areas from fuel delivery to exhaust emission phenomena. The second one deals with various problems on engine design, modeling, manufacturing, control and testing. Such structure should improve legibility of the book and helps to integrate all singular chapters as a logical whole
Advances in Mechanical Systems Dynamics 2020
The fundamentals of mechanical system dynamics were established before the beginning of the industrial era. The 18th century was a very important time for science and was characterized by the development of classical mechanics. This development progressed in the 19th century, and new, important applications related to industrialization were found and studied. The development of computers in the 20th century revolutionized mechanical system dynamics owing to the development of numerical simulation. We are now in the presence of the fourth industrial revolution. Mechanical systems are increasingly integrated with electrical, fluidic, and electronic systems, and the industrial environment has become characterized by the cyber-physical systems of industry 4.0. Within this framework, the status-of-the-art has become represented by integrated mechanical systems and supported by accurate dynamic models able to predict their dynamic behavior. Therefore, mechanical systems dynamics will play a central role in forthcoming years. This Special Issue aims to disseminate the latest research findings and ideas in the field of mechanical systems dynamics, with particular emphasis on novel trends and applications
Experts Knowledge Sharing System In Diagnosing Proton Car Engines
The proton car engine diagnosis system provides a broad range of technical
expertise from top engines diagnosticians assembled in Proton cars to the
mechanics or foremen at all Proton dealerships. The expertise provided by the
system includes problem identification, analysis and solution. Current scenario
that happened in service centre or at any dealership workshop is they still donât
have a proper system to share and keep the knowledge of expertise so that the
knowledge can be reused by others as well as can be retained in the company for
future use. Expertsâ mechanics that have highly experienced skills and nonexperts
mechanics that are still new and less experienced working together in a
certain location to do services and repair any problems happened to the cars.
However, there is time when the experts are not available and the non âexperts
donât have referees (experts) to be referred to about certain issues and then the
problems arise. When non experts do not know how to fix things correctly, thus
the mechanical faults will not being properly rectified thus leading to the
creation of another fault which will significantly cause Proton customers to
spend unnecessarily in getting their vehicle fixed. After recognising this problem
matters, study had been conducted in order to produce a proper system that can
be used as the knowledge sharing centre for the users at every level. Findings
based on the survey and interviews had gave the system developer more ideas to
further understand on the system functionalities and system development
processes. Right after the development phase, the system had been tested by the
users and the feedback was very impressive and there were few
recommendations given by the users for the system improvements
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