Sensor network analysis system based on TTDPN model and vector machine regression prediction

The invention discloses a sensor network analysis system based on a TTDPN model and vector machine regression prediction, and the system comprises a node fault information collection module which is used for collecting node fault information; the fault information preprocessing module is used for preprocessing the node fault information by adopting a Hadoop-based rough set rapid attribute reduction algorithm; the fault identification and evaluation module is used for realizing identification of fault types based on an RBF neural network model; and the fault decision module is used for outputting a current fault recovery decision based on the fault type and the TTDPN model of the sensor network. According to the method, a fault self-detection strategy for the sensor nodes and the whole network can be formed, and the data credibility and robustness are improved; fault detection can be carried out on line in real time according to data of each node of a sensor, and closed-loop control over the health state of th