A model-based approach to robot fault diagnosis

H H Liu, G M Coghill

Research output: Contribution to journalArticlepeer-review

52 Citations (Scopus)


This paper presents a model-based approach to online robotic fault diagnosis: First Priority Diagnostic Engine (FPDE). The first principle of FPDE is that a robot is assumed to work well as long as its key variables are within an acceptable range. FPDE consists of four modules: the bounds generator, interval filter, component-based fault reasoner (core of FPDE) and fault reaction. The bounds generator calculates bounds of robot parameters based on interval computation and manufacturing standards. The interval filter provides characteristic values in each predetermined interval to denote corresponding faults. The core of FPDE carries out a two-stage diagnostic process: first it detects whether a robot is faulty by checking the relevant parameters of its end-effector, if a fault is detected it then narrows down the fault at the component level. FPDE can identify single and multiple faults by the introduction of characteristic values. Fault reaction provides an interface to invoke emergency operation or tolerant control, even possibly system reconfiguration. The paper ends with a presentation of simulation results and discussion of a case study. (c) 2005 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)225-233
Number of pages9
JournalKnowledge-Based Systems
Issue number4-5
Early online date4 Jun 2005
Publication statusPublished - Aug 2005


  • fault diagnosis
  • model-based reasoning
  • robotics
  • tolerance


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