Condition monitoring of a process filter applying wireless vibration analysis

Pekka Koskela (Corresponding Author), Marko Paavola (Corresponding Author), Jukka Karjanlahti, Kauko Leiviskä

    Research output: Contribution to journalArticleScientificpeer-review


    This paper presents a novel wireless vibration-based method for monitoring the degree of feed filter clogging. In process industry, these filters are applied to prevent impurities entering the process. During operation, the filters gradually become clogged, decreasing the feed flow and, in the worst case, preventing it. The cleaning of the filter should therefore be carried out predictively in order to avoid equipment damage and unnecessary process downtime. The degree of clogging is estimated by first calculating the time domain indices from low frequency accelerometer samples and then taking the median of the processed values. Nine different statistical quantities are compared based on the estimation accuracy and criteria for operating in resource-constrained environments with particular focus on energy efficiency. The initial results show that the method is able to detect the degree of clogging, and the approach may be applicable to filter clogging monitoring.
    Original languageEnglish
    Pages (from-to)17-26
    Number of pages10
    JournalSensors & Transducers
    Issue number5
    Publication statusPublished - 2011
    MoE publication typeA1 Journal article-refereed


    • Filter clogging
    • Pipeline vibration
    • Predictive maintenance
    • Energy efficiency


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