An Architecture for Distributed Search and Data-Mining in Condition Monitoring Applications

There is an increasing growth in the volume of data generated by condition health monitoring applications as the technology becomes more pervasive and as the sensing technology becomes more complex. This can lead to significant problems in processing the volumes of data in an efficient way, particularly when the data is held remotely. This paper describes a distributed grid architecture that supports real-time pattern matching analysis to address this requirement within complex CHM problems. The architecture is generic and scalable.