The article introduces a model about sensor integration for twist drill condition monitoring and fault diagnosing In the model,the sensors are: force sensor, acoustic emission sensor and temperature sensor, and the methods of fault diagnosis are artificial neural network, fuzzy diagnosis and grey relation diagnosis