Synthesis of on-line testing control units: flow graph coding/monitoring approach

2002 ◽  
Author(s):  
S.N. Demidenko ◽  
E.M. Levine ◽  
V. Piuri
Keyword(s):  
Flow Graph ◽  
Control Units ◽  
On Line

scholarly journals Architecture of on-line data acquisition system for car on-board diagnostics

2019 ◽  
Vol 252 ◽  
pp. 02003 ◽  
Author(s):  
Bartosz Kowalik ◽  
Marcin Szpyrka
Keyword(s):  
Data Acquisition ◽  
Electronic Devices ◽  
Area Network ◽  
Electronic Control ◽  
Instrument Cluster ◽  
Abnormal Behaviour ◽  
Automated Data Collection ◽  
Data Mining Approach ◽  
Control Units ◽  
On Line

Modern cars produced for the last two decades are full of electronic devices called Electronic Control Units (ECU). They are responsible for collecting diagnostic data from different components such as the engine, breaks etc. using probes and sensors. The collected data are validated against built-in heuristic and abnormal behaviour is reported to a driver by a gauge on an instrument cluster. ECUs use data provided by other ECUs. Information is transmitted over the dedicated network called Controlled Area Network (CAN). Every car equipped with ECUs and CAN exposes information over universal diagnostic interface called On-Board Diagnostic. Using the interface, it is possible to gather car's live data. With the data mining approach, it is possible to exploit the collected more effectively to obtain much more information about the functioning of car components than it is provided by standard vehicle equipment. The paper describes how to build a laboratory set to facilitate automated data collection. It consists of three major components: data acquisition, automated logs collection and persistent storage with presentation tools. The first component is based on Torque application for which reverse engineering was performed.

scholarly journals Modeling and Deployment of Model-Based Decentralized Embedded Diagnosis inside Vehicles: Application to Smart Distance Keeping Function

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Othman Nasri ◽  
Hassan Shraim ◽  
Phillippe Dague ◽  
Olivier Heron ◽  
Michael Cartron
Keyword(s):  
Adaptive Cruise Control ◽  
Can Bus ◽  
Diagnostic Information ◽  
Hardware In The Loop ◽  
Cruise Control ◽  
Safe Distance ◽  
Model Based ◽  
Control Units ◽  
On Line ◽  
Decentralized Architecture

The deployment of a fault diagnosis strategy in the Smart Distance Keeping (SDK) system with a decentralized architecture is presented. The SDK system is an advanced Adaptive Cruise Control (ACC) system implemented in a Renault-Volvo Trucks vehicle to increase safety by overcoming some ACC limitations. One of the main differences between this new system and the classical ACC is the choice of the safe distance. This latter is the distance between the vehicle equipped with the ACC or the SDK system and the obstacle-in-front (which may be another vehicle). It is supposed fixed in the case of the ACC, while variable in the case of the SDK. The variation of this distance depends essentially on the relative velocity between the vehicle and the obstacle-in-front. The main goal of this work is to analyze measurements, issued from the SDK elements, in order to detect, to localize, and to identify some faults that may occur. Our main contribution is the proposition of a decentralized approach permitting to carry out an on-line diagnosis without computing the global model and to achieve most of the work locally avoiding huge extra diagnostic information traffic between components. After a detailed description of the SDK system, this paper explains the model-based decentralized solution and its application to the embedded diagnosis of the SDK system inside Renault-Volvo Truck with five control units connected via a CAN-bus using “Hardware in the Loop” (HIL) technique. We also discuss the constraints that must be fulfilled.

Modification of scheduled data flow graph for on-line testability

1999 ◽  
Vol 39 (10) ◽  
pp. 1473-1484 ◽  
Author(s):  
A.A. Ismaeel ◽  
R. Bhatnagar ◽  
R. Mathew
Keyword(s):  
Data Flow ◽  
Data Flow Graph ◽  
Flow Graph ◽  
On Line

The on-line use of histogram data for high-speed correction and alignment of electron microscope images

1984 ◽  
Vol 42 ◽  
pp. 556-557
Author(s):  
William Krakow
Keyword(s):  
Power Spectrum ◽  
High Speed ◽  
Direct Memory Access ◽  
Digital Television ◽  
Contrast Transfer Function ◽  
The Past ◽  
High Resolution Tem ◽  
On Line ◽  
Correction Of Astigmatism ◽  
The Fourier Transform

In the past few years on-line digital television frame store devices coupled to computers have been employed to attempt to measure the microscope parameters of defocus and astigmatism. The ultimate goal of such tasks is to fully adjust the operating parameters of the microscope and obtain an optimum image for viewing in terms of its information content. The initial approach to this problem, for high resolution TEM imaging, was to obtain the power spectrum from the Fourier transform of an image, find the contrast transfer function oscillation maxima, and subsequently correct the image. This technique requires a fast computer, a direct memory access device and even an array processor to accomplish these tasks on limited size arrays in a few seconds per image. It is not clear that the power spectrum could be used for more than defocus correction since the correction of astigmatism is a formidable problem of pattern recognition.

Image registration with a computer driven S.T.E.M.

1978 ◽  
Vol 36 (1) ◽  
pp. 98-99
Author(s):  
A.M.H. Schepman ◽  
J.A.P. van der Voort ◽  
J.E. Mellema
Keyword(s):  
Spot Size ◽  
Scanning Transmission Electron Microscope ◽  
Small Computer ◽  
Structural Studies ◽  
Area Of Interest ◽  
Transmission Electron ◽  
Scanning Transmission ◽  
Specimen Area ◽  
On Line ◽  
Minimum Distances

A Scanning Transmission Electron Microscope (STEM) was coupled to a small computer. The system (see Fig. 1) has been built using a Philips EM400, equipped with a scanning attachment and a DEC PDP11/34 computer with 34K memory. The gun (Fig. 2) consists of a continuously renewed tip of radius 0.2 to 0.4 μm of a tungsten wire heated just below its melting point by a focussed laser beam (1). On-line operation procedures were developped aiming at the reduction of the amount of radiation of the specimen area of interest, while selecting the various imaging parameters and upon registration of the information content. Whereas the theoretical limiting spot size is 0.75 nm (2), routine resolution checks showed minimum distances in the order 1.2 to 1.5 nm between corresponding intensity maxima in successive scans. This value is sufficient for structural studies of regular biological material to test the performance of STEM over high resolution CTEM.

Design and calibration of an IVEM for general 3-dimensional imaging of non-diffracting materials

1992 ◽  
Vol 50 (2) ◽  
pp. 1040-1041
Author(s):  
Neil Rowlands ◽  
Jeff Price ◽  
Michael Kersker ◽  
Seichi Suzuki ◽  
Steve Young ◽  
...  
Keyword(s):  
3D Imaging ◽  
Tomographic Reconstruction ◽  
Three Dimensional ◽  
3 Dimensional ◽  
3D Microstructure ◽  
Image Translation ◽  
Digital Correlation ◽  
On Line ◽  
Mechanical Stage ◽  
Projection Angle

Three-dimensional (3D) microstructure visualization on the electron microscope requires that the sample be tilted to different positions to collect a series of projections. This tilting should be performed rapidly for on-line stereo viewing and precisely for off-line tomographic reconstruction. Usually a projection series is collected using mechanical stage tilt alone. The stereo pairs must be viewed off-line and the 60 to 120 tomographic projections must be aligned with fiduciary markers or digital correlation methods. The delay in viewing stereo pairs and the alignment problems in tomographic reconstruction could be eliminated or improved by tilting the beam if such tilt could be accomplished without image translation.A microscope capable of beam tilt with simultaneous image shift to eliminate tilt-induced translation has been investigated for 3D imaging of thick (1 μm) biologic specimens. By tilting the beam above and through the specimen and bringing it back below the specimen, a brightfield image with a projection angle corresponding to the beam tilt angle can be recorded (Fig. 1a).

Sign in / Sign up

Export Citation Format

Share Document