Abstract: A system and method for detecting the potential of non-cathode arcing in a plasma generation apparatus, such as a physical vapor deposition chamber. The system and method involve computing a statistical parameter of cathode-arcing event data in the chamber and performing a pattern recognition technique to a moving average of the statistical parameter.

Abstract: An apparatus and technique are provided for generating a plasma using a power supply circuit and arc detection arrangement. The power supply circuit has a cathode enclosed in a chamber, and is adapted to generate a power-related parameter. The arc detection arrangement is communicatively coupled to the power supply circuit and adapted to assess the severity of arcing in the chamber by comparing the power-related parameter to at least one threshold. According to various implementations, arc occurrences, arcing duration, intensity and/or energy are measured responsive to comparing the power-related parameter to the at least one threshold. According to further implementations, the above-mentioned measured quantities are accumulated and/or further processed. An apparatus and method are also provided for detecting arc events when the current spikes above a threshold level.

Abstract: A method and apparatus for detecting a wafer-level arc in a plasma process chamber. The method includes, for example, monitoring a waveform of a signal supplied to the plasma process chamber; detecting a feature in the waveform; responsive to detecting the feature, determining whether the waveform has stabilized after the feature; responsive to the waveform stabilizing, determining whether the feature is part of a bidirectional waveform anomaly or a unidirectional waveform transition; and recording to a computer-readable medium either an indication of the feature being part of a bidirectional waveform anomaly or an indication of the feature being a unidirectional waveform transition.

Abstract: A system and method for detecting the potential of non-cathode arcing in a plasma generation apparatus, such as a physical vapor deposition chamber. The system and method involve computing a statistical parameter of cathode-arcing event data in the chamber and performing a pattern recognition technique to a moving average of the statistical parameter.