Detection Of Knocking Combustion In Diesel Engines By Inverse Filtering Of Structural Vibration Signals


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Vibration-based Condition Monitoring


Vibration-based Condition Monitoring

Author: Robert Bond Randall

language: en

Publisher: John Wiley & Sons

Release Date: 2021-07-06


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Vibration-based Condition Monitoring Stay up to date on the newest developments in machine condition monitoring with this brand-new resource from an industry leader The newly revised Second Edition of Vibration-based Condition Monitoring: Industrial, Automotive and Aerospace Applications delivers a thorough update to the most complete discussion of the field of machine condition monitoring. The distinguished author offers readers new sections on diagnostics of variable speed machines, including wind turbines, as well as new material on the application of cepstrum analysis to the separation of forcing functions, structural model properties, and the simulation of machines and faults. The book provides improved methods of order tracking based on phase demodulation of reference signals and new methods of determining instantaneous machine speed from the vibration response signal. Readers will also benefit from an insightful discussion of new methods of calculating the Teager Kaiser Energy Operator (TKEO) using Hilbert transform methods in the frequency domain. With a renewed emphasis on the newly realized possibility of making virtual instruments, readers of Vibration-based Condition Monitoring will benefit from the wide variety of new and updated topics, like: A comprehensive introduction to machine condition monitoring, including maintenance strategies, condition monitoring methods, and an explanation of the basic problem of condition monitoring An exploration of vibration signals from rotating and reciprocating machines, including signal classification and torsional vibrations An examination of basic and newly developed signal processing techniques, including statistical measures, Fourier analysis, Hilbert transform and demodulation, and digital filtering, pointing out the considerable advantages of non-causal processing, since causal processing gives no benefit for condition monitoring A discussion of fault detection, diagnosis and prognosis in rotating and reciprocating machines, in particular new methods using fault simulation, since “big data” cannot provide sufficient data for late-stage fault development Perfect for machine manufacturers who want to include a machine monitoring service with their product, Vibration-based Condition Monitoring: Industrial, Automotive and Aerospace Applications will also earn a place in university and research institute libraries where there is an interest in machine condition monitoring and diagnostics.

An Application to Detect Knock and Combustion Severity of Diesel Engine Working with Biodiesel (COME)-Additive Blends Using Cylinder Vibration Signature


An Application to Detect Knock and Combustion Severity of Diesel Engine Working with Biodiesel (COME)-Additive Blends Using Cylinder Vibration Signature

Author: P. Venkateswara Rao

language: en

Publisher:

Release Date: 2015


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Knock is an undesirable combustion mode occurring in diesel engines due to longer delay period that decreases the engine performance and life. In diesel engine, knock is mainly due to the improper fuel burning or missing caused by the injection system problems. Engine miss causes rapid combustion with very high pressures generating a rumble or dull clattering sound with violent vibration called “knocking or detonation”. The method introduced in the present study using alternate fuel (biodiesel-triacetin additive) in the engine suggests a newly developed approach towards analyzing the cylinder vibration of diesel engine. This method is based on fundamental relationship between the engine vibrations pattern and relative characteristics of the combustion process in the cylinder. Vibrations generated by the engine during knock are measured by using DC-11 Fast Fourier Transform (FFT) analyzer with accelerometer. The FFT output at each load of the cylinder excitation frequencies is obtained and compared with the frequencies of diesel fuel as base line. Time waveforms on the cylinder head and derived heat release rate curves are used to analyze the modus operandi of how combustion generates the vibrations and finally to detect the engine knock.