---
res:
  bibo_abstract:
  - "In order to reduce time consuming and expensive flawed production in Security
    Printing Machines an inspection system for early recognition of consecutive errors
    is developed. It shall avoid printing errors by combining measuring data from
    several sensors with expert knowledge. The inspection quality is improved by acquiring
    several information sources, using different physical quantities, integrating
    expert knowledge and perception, extracting reasonable features, and generating
    intuitive results.\r\nThe TLCS (Two Layer Conflict Solving) approach is based
    on the Evidence Theory and uses conflict solving to fuse data. The first layer
    applies the Conflict Modified Dempster-Shafer-Theory (CMDST). Every two sensors‘
    data are combined and conflicts are solved between individuals. In the second
    layer the data is fused using the results from the CMDST and the sensors’ original
    observations by the Group Conflict Redistribution (GCR). We introduce an improvement
    of the TLCS approach with reference to highly complex machine conditioning applications.
    In this context, the sensors are grouped to attributes applying expert knowledge.
    The fusion of the fuzzyfied sensor’s observations that are elements of one particular
    attribute is accomplished by the TLCS. Subsequently, the attributes’ conditions
    are merged using an Ordered Weighted Averaging Operator.\r\nIn security printing
    machines the wiping unit is the most sensible part. It is responsible for removing
    surplus ink around the engravings. Even small parameter manipulations cause errors
    during the production. Experienced machine operators recognize errors before they
    occur and stabilize the production by changing wiping unit parameters mainly.
    The fusion approach is evaluated in a wiping simulator. Current, impact sound,
    temperature and force are acquired and processed. Wear, parameter changes, and
    mechanical disturbances are detected by the introduced algorithm.@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Karl
      foaf_name: Voth, Karl
      foaf_surname: Voth
  - foaf_Person:
      foaf_givenName: Stefan
      foaf_name: Glock, Stefan
      foaf_surname: Glock
      foaf_workInfoHomepage: http://www.librecat.org/personId=44020
  - foaf_Person:
      foaf_givenName: Uwe
      foaf_name: Mönks, Uwe
      foaf_surname: Mönks
      foaf_workInfoHomepage: http://www.librecat.org/personId=1825
  - foaf_Person:
      foaf_givenName: Thomas
      foaf_name: Türke, Thomas
      foaf_surname: Türke
  - foaf_Person:
      foaf_givenName: Volker
      foaf_name: Lohweg, Volker
      foaf_surname: Lohweg
      foaf_workInfoHomepage: http://www.librecat.org/personId=1804
    orcid: 0000-0002-3325-7887
  bibo_doi: 10.5162/sensor11/sp2.1
  dct_date: 2011^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/978-3-9810993-9-3
  dct_language: eng
  dct_publisher: 7 – 9 June 2011, Nürnberg, Germany @
  dct_title: Multi-sensory Machine Diagnosis on Security Printing Machines with Two
    Layer Conflict Solving@
...