---
title: "Diagnosing Temporal Misbehavior"
authors:
  - "Gerhard Friedrich"
  - "Franz Lackinger"
doi: ""
url: "https://ijcai.org/proceedings/1991/164"
pdf: "https://ijcai.org/proceedings/1991/0164.pdf"
venue: "Proceedings of the Twelfth International Joint Conference on Artificial Intelligence"
year: 1991
pages: "1116-1121"
track: "Qualitative Reasoning"
keywords:
---

# Diagnosing Temporal Misbehavior

Gerhard Friedrich, Franz Lackinger

*Proceedings of the Twelfth International Joint Conference on Artificial Intelligence*, pages 1116-1121.

## Abstract

One of the main goals of model-based diagnosis is the detection and localization of failures that are very difficult to diagnose even for human experts. Especially transient failures require a sophisticated problem-solving strategy and often overcharge an experienced human diagnostician. Unfortunately, such transient failures occur in many applications and cause unacceptable misbehavior. Therefore, dealing with failures which have a temporal aspect is a challenging task for model-based diagnosis. However, current research on model-based diagnosis treats assumptions about the component behavior as static and therefore fails to reason about time-varying failures. In this paper we present a new approach to model-based diagnosis which enables us to deal with its temporal aspects.