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Fault diagnosis is the problem of determining a set of faulty systemcomponents that explain discrepancies between observed and expected behavior.Due to the intrinsic relation between observations and sensors placed on asystem, sensors' fault diagnosis and placement are mutually dependent.Consequently, it is imperative to solve the fault diagnosis and sensorplacement problems jointly. One approach to modeling systems for faultdiagnosis uses answer set programming (ASP). We present a model-based approachto sensor placement for active diagnosis using ASP, where the secondaryobjective is to reduce the number of sensors used. The proposed method findslocations for system sensors with around 500 components in a few minutes. Toaddress larger systems, we propose a notion of modularity such that it ispossible to treat each module as a separate system and solve the sensorplacement problem for each module independently. Additionally, we provide afixpoint algorithm for determining the modules of a system.

Sensor Placement for Online Fault Diagnosis