Abstract: A Data Dependent Systems approach is outlined for obtaining tool life distribution and reliability models directly from shop floor and/or laboratory failure data. The approach does not require ...

Abstract: The paper presents and illustrates a method of stochastic linearization of nonlinear systems. The system response to white noise excitation is modeled by a differential equation, which provides ...

Abstract: This paper presents a systematic profile recognition and mensuration approach in machine vision. It can be utilized to recognize and measure the profiles of industrial parts in an automated ...

Abstract: A new investigative approach to metal cutting dynamics is proposed based on wavelength decomposition of surface roughness by data dependent systems (DDS). This approach distinguishes from the ...

Abstract: A model for a “characteristic grain” consisting of the superimposition of a large and a small wavelength has been introduced. The large wavelength representing the grain has been used in ...

Abstract: An indirect method of tool wear sensing and critical wear detection is suggested. It is based on the Data Dependent Systems (DDS) modeling of vibrations from an accelerometer mounted on the ...

Abstract: This paper initiates a new approach to the analysis of surface generation, by fitting mathematical models to wheel and work surface profiles under actual grinding conditions. Data Dependent ...

Abstract: The paper proposes and illustrates an application of a recently developed methodology called Data Dependent Systems (DDS) to modeling and analysis of solar insolation data. Such an approach is ...