Due to the complexity of process operation, industrial data are often nonlinear and nonstationary, high dimensional, multivariate with complex interactions between multiple outputs. To address all these issues, this paper proposes a novel predictive model that integrates deep feature extraction fast online adaptation, can effectively deal Specifically, multi-output gradient radial basis functio...

We demonstrate a high-power Nd: YVO 4 picosecond laser amplifier that is capable of generating 51.5 W average output power at wavelength 1,064 nm, with repetition rate 70 MHz and pulse duration 8.5 ps. This system encompasses three stages diode end-pumped amplification including two double-pass amplifiers single-pass amplifier. Laser near-diffraction-limited beam quality ( M 2 < 1.1) was...

totoday’s market place is increasingly dynamic and volatile. in this area supply network issues recently have attracted a lot of attention from industrial practitioners and academics worldwide. chaos theory is the study of complex, nonlinear, dynamic systems. for chaotic systems, a tiny change in conditions may result in an enormous change in system output, whereas substantial changes in condit...

In this paper, we propose a simultaneous meta-modeling protocol for both input and output spaces. We perform a reparametrization of the input space using constrained shape interpolation by introducing the concept of an α-manifold of admissible meshed shapes. The output space is reduced using constrained Proper Orthogonal Decomposition. By simultaneously using meta-modeling for both spaces, we f...

In highly competitive industrial market, the concept of failure analysis is an unavoidable fact in complex industrial systems. Reliability of such systems not only depends on the reliability of each element of these systems, but also depends on occurrence of sequence of failures. In this paper, a novel approach to sequential failure analysis is proposed which is based upon fuzzy logic and the c...

Direct measures of expectations, derived from survey data, are used in a Vector Autoregressive (VAR) model of actual and expected output series in eight industrial sectors comprising UK Manufacturing. Through the application of the Beveridge-Nelson decomposition, the VAR model is used to measure trend output in the Manufacturing Sector. This measure is compared with alternative trend measures o...

Regular renewal of output produced is a law in contemporary industrial production. The processes of output renewal are very diverse; peculiar to them are intricate hierarchical interrelationships between their components and uncertainty of parameters which characterize both the components and the processes as a whole. For these, inherent are certain specific features which, taken together, make...

This appendix discusses numerous robustness checks of our baseline estimates of the effect of financial distress on output. All of the alternatives described use our new measure of financial distress as the explanatory variable. We discuss the results using both industrial production and real GDP as the output variable. However, for simplicity, the graphs only show the results for real GDP. Eac...