Number of the records: 1  

Real-time diagnostics for ROS running systems based on probabilistic patterns identification

  1. SYS0508667
    LBL
      
    01000a^^22220027750^450
    005
      
    20240103222557.3
    017
      
    $2 DOI
    100
      
    $a 20190920d m y slo 03 ba
    101
      
    $a eng $d eng
    102
      
    $a CZ
    200
    1-
    $a Real-time diagnostics for ROS running systems based on probabilistic patterns identification
    215
      
    $a 4 s. $c P
    463
    -1
    $1 001 cav_un_epca*0504631 $1 010 $a 978-80-87012-71-0 $1 011 $a 1805-8248 $1 200 1 $a Engineering mechanics 2019. Book of full texts $v S. 383-386 $1 210 $a Prague $c Institute of Thermomechanics of the Czech Academy of Sciences $d 2019 $1 702 1 $a Zolotarev $b I. $4 340 $1 702 1 $4 340 $a Radolf $b V.
    610
      
    $a diagnostic expert system
    610
      
    $a bayesian network
    610
      
    $a system diagnostic
    700
    -1
    $3 cav_un_auth*0228415 $w D3 – Dynamics and Vibration $4 070 $9 50 $a Věchet $b Stanislav $p UT-L $i D 3 - Dynamika a vibrace $j D 3 - Dynamics and Vibration $y CZ $z A $T Ústav termomechaniky AV ČR, v. v. i.
    701
    -1
    $3 cav_un_auth*0101903 $w D3 – Dynamics and Vibration $4 070 $9 50 $a Krejsa $b Jiří $p UT-L $i D 3 - Dynamika a vibrace $j D 3 - Dynamics and Vibration $y CZ $T Ústav termomechaniky AV ČR, v. v. i.
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.