The soft tactile sensor is a sensor that replaces a conventional rigid sensor. Conventional rigid sensors are sensitive to measurements and strong to repetitive use. However, there is a drawback that it is expensive and weak against strong impact. Soft sensors can work around the outer surface of an robot, like a person's skin. Therefore, it is advantageous in comparison with a rigid sensor in direct contact with an object. It is excellent in impact resistance and chemical resistance, and can be used for disposable sensors at low production cost. It can also be used as a flexible sensor applicable to curved surfaces.
Physical tactile values are detected by fabricated polymer sensors which have flexible and soft characteristics. The sensors can measure strain, pressure, detect, slippage and roughness in forms of electrical signals such as resistance or capacitance or voltage. Information of object surface is obtained through signal processing.
Fault Diagnosis of Rotating Machinery
The rotating machinery normally suffers mechanical failures even during daily operations that results in poor performance or shortening lifetime of the machine. Therefore, it is important to the earliest fault diagnosis of the rotating machine. Fault diagnosis methods of rotating machines mainly use frequency techniques such as FFT(fast fourier transform), time-frequency techniques such as WT(wavelet transform), time-domain analysis methods such as kurtosis, and so on..
We develop a method to make fault diagnosis of rotating machine easier and cheaper by supplementing disadvantages of existing fault diagnosis methods.