Abstract: In some embodiments, a method of monitoring a resin-producing polymerization reaction in a fluid bed reactor system to generate reaction parameter data in on-line fashion, determining an indicator of at least one of entropy and complexity (for example, Kolmogorov or Shannon entropy) of each of at least two subsets of the reaction parameter data, and optionally also determining from at least one value of the indicator (for example, from a time series of Kolmogorov or Shannon entropy values) an indication of at least one of degree of resin stickiness, an approach to or imminence of resin stickiness, and an approach to or imminence of an unsafe or undesired reactor operating condition (e.g., that can result in sheeting or chunking). Optionally also, the reaction is controlled in response to at least one value of the indicator, for example, in an effort to prevent the occurrence of sheeting or another discontinuity event or to maintain the reactor in a stable, non-sticking condition.

Abstract: Methods for cyclone boiler flame diagnostics and control, including methods for monitoring the operating state of a cyclone furnace using linear and nonlinear signal analysis techniques, including temporal irreversibility and symbol sequence. Adjustments may be made in the air flow distribution to optimize performance. Signals for the main flame and lighter scanners are relatively independent, thereby allowing for independent control of the primary air flow to the burner and secondary air flow to the barrel.

Abstract: The current invention provides a method and apparatus, which uses symbol sequence techniques, temporal irreversibility, and/or cluster analysis to monitor the operating state of individual burner flames on a appropriate time scale. Both the method and apparatus of the present invention may be used optimize the performance of burner flames.

Abstract: Methods for cyclone boiler flame diagnostics and control, including methods for monitoring the operating state of a cyclone furnace using linear and nonlinear signal analysis techniques, including temporal irreversibility and symbol sequence. Adjustments may be made in the air flow distribution to optimize performance. Signals for the main flame and lighter scanners are relatively independent, thereby allowing for independent control of the primary air flow to the burner and secondary air flow to the barrel.

Abstract: This invention detects the crank angle location where combustion switches from premixed to diffusion, referred to as the transition index, and uses that location to define integration limits that measure the portions of heat released during the combustion process that occur during the premixed and diffusion phases. Those integrated premixed and diffusion values are used to develop a metric referred to as the combustion index. The combustion index is defined as the integrated diffusion contribution divided by the integrated premixed contribution. As the EGR rate is increased enough to enter the low temperature combustion regime, PM emissions decrease because more of the combustion process is occurring over the premixed portion of the heat release rate profile and the diffusion portion has been significantly reduced. This information is used to detect when the engine is or is not operating in a low temperature combustion mode and provides that feedback to an engine control algorithm.

Abstract: The current invention provides a method and apparatus, which uses symbol sequence techniques and/or temporal irreversibility derived from chaos theory to monitor the operating state of individual burner flames on a appropriate time scale. Both the method and apparatus of the present invention may be used optimize the performance of burner flames.

Abstract: The current invention provides a method and apparatus, which uses symbol sequence techniques and/or temporal irreversibility derived from chaos theory to monitor the operating state of individual burner flames on a appropriate time scale. Both the method and apparatus of the present invention may be used optimize the performance of burner flames.

Abstract: The current invention provides a method and apparatus, which uses symbol sequence techniques and/or temporal irreversibility derived from chaos theory to monitor the operating state of individual burner flames on a appropriate time scale. Both the method and apparatus of the present invention may be used optimize the performance of burner flames.

Abstract: The present invention describes a method for determining reactor continuity of a polymerization reactor by non-linear dynamics. Specifically, the invention relates to a method of analyzing system variables to indicate gas phase reactor continuity in real-time and controlling the reactor continuity to maintain operability.

Abstract: The current invention provides a method and apparatus, which uses symbol sequence techniques and/or temporal irreversibility derived from chaos theory to monitor the operating state of individual burner flames on a appropriate time scale. Both the method and apparatus of the present invention may be used optimize the performance of burner flames.

Abstract: Cyclic variation in combustion of a lean burning engine is reduced by detecting an engine combustion event output such as torsional acceleration in a cylinder (i) at a combustion event (k), using the detected acceleration to predict a target acceleration for the cylinder at the next combustion event (k+1), modifying the target output by a correction term that is inversely proportional to the average phase of the combustion event output of cylinder (i) and calculating a control output such as fuel pulse width or spark timing necessary to achieve the target acceleration for cylinder (i) at combustion event (k+1) based on anti-correlation with the detected acceleration and spill-over effects from fueling.

Abstract: Methods and apparatus for automatically predicting epileptic seizures monitor and analyze brain wave (EEG or MEG) signals. Steps include: acquiring the brain wave data from the patient; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis tools; obtaining time serial trends in the nonlinear measures; comparison of the trend to known seizure predictors; and providing notification that a seizure is forthcoming.

Abstract: Methods and apparatus for automatically detecting epileptic seizures by monitoring and analyzing brain wave (EEG or MEG) signals. Steps include: acquiring the brain wave data from the patient; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis; obtaining time serial trends in the nonlinear measures; determining that one or more trends in the nonlinear measures indicate a seizure, and providing notification of seizure occurrence.

Abstract: A control loop and fluidization quality analyzer for a fluidized bed utilizes time varying pressure drop measurements. A fast-response pressure transducer measures the overall bed pressure drop, or over some segment of the bed, and the pressure drop signal is processed to produce an output voltage which changes with the degree of fluidization turbulence.