Abstract:
Among the multiple OES data wavelengths, an analysis device identifies the wavelength of light emissions from a substance contained in the plasma from among multiple light emission wavelengths within the chamber by way of the steps of: measuring the light emission within the chamber during etching processing of the semiconductor wafer; finding the time-based fluctuation due to changes over time on each wavelength in the measured intensity of the light emissions in the chamber; comparing the time-based fluctuations in the wavelength of the light emitted from the pre-specified substance; and by using the comparison results, identifying the wavelength of the light emitted from the substance caused by light emission within the chamber.
Abstract:
Selection of sensors requires the knowledge of individual sensors mounted on a target machine and the knowledge of mechanical features of the machine. In the past, experts having mechanical knowledge selected the sensors. The present invention involves analyzing sensor data at e of machine failure, extracting features from the sensor data regarding each failure cause, and comparing the extracted features so as to clarify the difference between the sensor data about the failure causes and present an operator with the clarified difference thereby to support sensor selection. The invention makes it possible to select more simply than before the sensors considered effective for classifying failure causes. For example, the sensors deemed effective for classifying failure causes without mechanical knowledge can be selected.
Abstract:
A state monitoring system enabling a sign of abnormality of equipment to be detected is disclosed, which includes: a storage unit to be stored with normal models obtained by analyzing, per series of manipulations, time-series learning data of sensor outputs indicated by respective units of processing equipment when normally finishing processing a raw material through the series of manipulations according to a default sequence; and a processing unit to diagnose a state of the processing equipment on the occasion of processing a specified raw material, upon an input of time-series evaluation data of the sensor output indicated by each of the units of the processing equipment on the occasion of finishing processing the specified raw material through the series of manipulations, on the basis of a comparison between the inputted data and the normal model.
Abstract:
The information processing apparatus includes a receiving unit for receiving from a transmission-side information processing apparatus data extracted from a set of data of a plurality of attributes acquired in time series from a monitoring target and a reception data processing unit for setting, when a set of the received data includes a value-unfilled attribute, a value being latest among known values of the attribute included in previously received time-series sets of data, as a value of the value-unfilled attribute.