No abstract available

[en] After a discussion of the main tasks in a nuclear laboratory like overall experiment planning, sample production and management, performance of experiments, data processing and report generation the essential disadvantages of centralised systems are shown and the proper measures for overcoming those by distribution are discussed. Finally possible shortcomings due to improper design and management of distributed architectures are shown. (author)

[en] Aichi University of Education started the research and development of automatic emulsion analysis for cosmic ray research in 1980 by introducing the precise coordinate-measuring system and NOVA 4/c FDOS (floppy disk operating system). Then, the development of software has been advanced such as the correction programs for accurately performing track tracing and the three-dimensional reconstruction of tracks. The system consists of a host minicomputer NOVA 4/c, the precise coordinate-measuring system, a stage controller and various peripheral devices. In this report, the system configuration is described, dividing it into the mini-computer NOVA 4/c, the precise coordinate-measuring system and stage controller, an XY plotter, and an acoustic coupler installed for the purpose of data communication with the laboratories in Nagoya University and others. Also the on-line coordinate-measuring program (Multi Tracks Follow, MTF) is described on its outline, format, and the monitor of event data directly after measurement. The three-dimensional reconstruction of data and its correction, and analysis processing after the correction are explained. For the future, the authors are now preparing online measurement using a new program, NEW DOMS (Digitized On-line Microscope System), and a personal computer PC8801 (NEC), because on-line measurement is necessary to perform well correspondence of tracks between the counter and emulsions and advance a rapid and accurate analysis. (Wakatsuki, Y.)

[en] There is a need for remote handling, automation,, rapid processing and inspection data print-out when dealing with reactor fuel material. An automatic computerized fuel pellet inspection system has been developed to carry out dimensional and weight measurements on fuel pellets for the fast breeder test reactor at Kalpakkam, near Madras. The system consists of several subsystems each especially developed for a specific purpose. If a general approach is adopted towards the paper, there are many innovations and ideas that can be used in the automatic inspection of a variety of products in industry. As the system is fairly involved, however, the paper does not attempt to give detailed description of the equipment. The function of the system is to accept a certain quantity of fuel pellets in a bowl feeder, separate the pellets which are outside dimensional and weight limits and form columns of accepted pellets. Dimensional and weight limits can be set as required and all inspection data is presented in a printed format. The system processes pellets at the rate of 15 per minute. (author)

[en] Main parameters of the IVK-20, IVK-6, IVK-9, IVK-10, IVK-16 and VK-F on-line measuring complexes are presented. The IVK-20 complex is intended for automation of scientific researches in different for automation of scientific researches in different fields of science and technique, it is constructed on the base on the on-line control complex SMP 1300.1701 and CAMAC crate; it can be used both independently and as a terminal complex in multimachine hierarchial systems. The IVK-6 is a problem-oriented complex intended for automation of general physical studied and engineering calculations and it can be a basis for development of multimachine hierarchial on-line measuring systems. It is based on the SM-4 computer and four IVK-20 complexes. The IVK-9 complex is based on the SM-4 computer and CAMAC crate and it is intended for automation of mechanical tests of materials and structures. The IVK-10 complex comprises an on-line control complex on the basis of the SM-1420 computer and CAMAC crates and it is intended for a muliparametric experiment with distributed objects. The IVK-16 includes the ''Elektronika-60'' computer and one CAMAC crate; it can be used as a part of a local system of an automated experiment or as a lower level in a two-level system with increased noise protection. The VK-I is a problem-oriented complex for processing spectral data obtained by optical methods

[en] Adding recurrent connections to unsupervised neural networks used for clustering creates a temporal neural network which clusters a sequence of inputs as they appear over time. The model presented combines the Jordan architecture with the unsupervised learning technique Adaptive Resonance Theory, Fuzzy ART. The combination yields a neural network capable of quickly clustering sequential pattern sequences as the sequences are generated. The applicability of the architecture is illustrated through a facility monitoring problem

[en] Ontario Power Generation’s (OPG) newly developed Monitoring and Diagnostics (M&D) Centre has achieved numerous successes based on existing sensing instruments in the station and the associated equipment and process data available. To get full value out of the M&D Centre, the team’s next steps are to implement the Advanced Continuous Online Monitoring (COLM) Program across OPG’s fleet, which aims at instrumenting key power plant assets that are important to safety and production. The overall objective is to use high performance diagnostic tools that can combine the power of online process and equipment performance data acquisition with advanced diagnostics methodologies to help optimize maintenance and engineering work programs, forecast equipment degradation and leverage the use of artificial intelligence to auto-diagnose specific failure modes and predict the remaining useful life of key equipment. This business investment provides immediate tangible benefits and continues to foster the company’s innovation culture. (author)

[en] Real time measurement of pulse beams emittance is realized with a camera and data processing system. This system has been used well since 1989 in 3 collaborating unit

[en] In this paper the authors describe the ways in which the Generator Expert Monitoring System (GEMS)--an on-line, knowledge-based monitoring and diagnostic system for utility generators--can serve as an enabler for condition-based maintenance programs. They show how information and advice from GEMS can be used by plant personnel to accomplish the three objectives of these maintenance programs: (1) extending the intervals between maintenance outages, (2) reducing the duration of scheduled and forced outages, and (3) predicting generator lifecycles. The value of GEMS is demonstrated using sensor data from an incident in which indications of a plugged stator bar were misinterpreted. Because of this misinterpretation, no action was taken until the generator had been severely damaged. Had GEMS been available, specific advance warning of the developing problem would have been given so that the damage could have been averted or lessened and the duration of the subsequent outage reduced. The particulars of this incident are used to illustrate the steps of the GEMS process: (1) analysis of data, including calculation of performance parameters for current conditions, (2) processing of indicators which are symptoms associated with particular problems, and (3) diagnosing problems by mapping symptoms to problems using an Al technology called Belief Networks

No abstract available