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This paper studies a combinational algorithm of a limit-trend checking, plausibility test and model-based method to attain a secure fault diagnosis in a wireless sensor network. It has been implemented based on a new theoretical identification method. The sensor nodes of the network have been distributed inside an intelligent container to monitor environmental parameters (temperature and relative humidity). It employs measured parameters, residuals and a developed model of the environment to introduce a topology, applicable in several applications of fault diagnosis area.