Results 201 to 210 of about 241,567 (259)

Soft Computing for diagnostics in equipment service

Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2001
We present methods and tools from the Soft Computing (SC) domain, which is used within the diagnostics and prognostics framework to accommodate imprecision of real systems. SC is an association of computing methodologies that includes as its principal members fuzzy, neural, evolutionary, and probabilistic computing.
Piero P. Bonissone, Kai Goebel
openaire   +3 more sources

Diagnostics in industrial equipment

Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 1985
Abstract The use of computers in semiconductor industrial equipment has been primarily for process control. Increasing demand for easily maintainable equipment has forced a new diagnostic responsibility on the computer control systems. In a properly designed control system the diagnostic capability of the computers can allow service personnel to ...
A. Delforge, C. Wonson
openaire   +1 more source

Diagnostic equipment using microcomputers

Microprocessors and Microsystems, 1981
Abstract The JNR (Japan National Railways) Hakata Base is a general maintenance shop servicing Shinkansen rolling stock, consisting of a number of maintenance machines and equipment. One of the most important problems faced by the Hakata Base is keeping all the machines and equipment operating smoothly, and resuming normal operation without losing ...
openaire   +1 more source

Ultrasonic diagnostic equipment

The Journal of the Acoustical Society of America, 1989
The ultrasonic diagnostic equipment in accordance with the present invention is constructed so as to detect the phase shift of the received signal of an ultrasonic wave transmitted by an ultrasonic transducer and reflected by an object in order to find the hologram signal for the object, and to obtain the reconstructed data for the object by carrying ...
openaire   +3 more sources

Effective Diagnostics of Metallurgical Equipment

2020 Global Smart Industry Conference (GloSIC), 2020
The paper presents a General approach to diagnostics of metallurgical equipment. Features of failures of metallurgical aggregates are given. Modern methods of diagnostics and non-destructive testing are considered, as well as issues of forecasting changes in the state of aggregates during operation.
Sergei Rednikov   +3 more
openaire   +1 more source

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