scholarly journals Novel approaches for quickly measuring engine speed applied to gasoline engine diagnostics

Author(s):  
Ngoc Tan Dinh

The parameter of engine speed plays an important role to recognize the engine's condition while working. By using this parameter, it is possible to diagnose engine's malfunctions. In this study, in case of the gasoline engine, we introduce two efficient methods for measuring the engine speed without extracting electrical signals from conventional engine speed sensors. For the first approach, based on the signal pin of the sensor, the engine speed was determined from the frequency of manifold absolute pressure. For the second approach, the frequency of the voltage drop measured at the battery positive terminal caused by ignition operation is the key to calculate the engine speed. The noise filter circuits and the amplifier circuits are used to refine signal, Besides, a Schmitt Trigger circuit using a NE555 timer IC was designed to reshape the oscillation signal from either of these sources into a square wave of which frequency was measured and converted to the engine speed by a microprocessor and display the result on the LCD screen.Compared to engine speed measured by a conventional inductive sensor, the proposed methods provide a competitive result with fast response. The second approach was highly promising due to its simplicity involving in direct voltage measurement at the battery positive terminal.

2021 ◽  
Vol 21 (1) ◽  
pp. 153-155
Author(s):  
Neha Gupta ◽  
Ambika Prasad Shah ◽  
Santosh Kumar Vishvakarma

2002 ◽  
Vol 38 (18) ◽  
pp. 1009 ◽  
Author(s):  
S.F. Al-Sarawi

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Lihua Yuan ◽  
Guodong Ren ◽  
Chunni Wang

The modes of electric activities in neurons and wave propagation between neurons can be changed by using appropriate external forcing or coupling type. Based on the PSpice tool, the coupling synchronization between three Hindmarsh-Rose neurons is investigated. The neuronal circuit is also designed, and the Schmitt trigger circuit is used as peak detector by transmitting the analog signal into digital signal; thus, the rhythm of electric activities of neurons can be analyzed. By selecting different initial states (spiking or bursting), different synchronization states are found. In the case of spiking state, appropriate coupling intensity is effective in realizing rhythm synchronization and then homogenous state is observed by further increasing the coupling intensity. In the case of bursting state, rhythm synchronization is enhanced under appropriate coupling intensity while desynchronization occurs by further increasing the coupling intensity.


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