Abstract:
Manufacturing processes monitor forces or pressures within a machine. Metal within machines affect wireless communications within the machines for reporting monitored data. An embodiment of the present invention is a sensor that provides wireless communications unaffected by metals and with less electrical noise than slip rings. An embodiment can monitor manufacturing processes, such as by employing a piezoelectric transducer to measure forces or pressures in a machine and generate an electrical signal representing, for example, forces measured by the piezoelectric transducer. A threshold modulator circuit converts the electrical signal into a series of electrical pulses, which can be transmitted as a corresponding series of magnetic field pulses to a wireless receiver. The receiver reconstructs the original electrical signal, thereby enabling a receiver system to determine physical activities in the machine. The embodiment may be self-powered through use of power generated by the piezoelectric transducer.
Abstract:
Manufacturing processes monitor forces or pressures within a machine. Metal within machines affect wireless communications within the machines for reporting monitored data. An embodiment of the present invention is a sensor that provides wireless communications unaffected by metals and with less electrical noise than slip rings. An embodiment can monitor manufacturing processes, such as by employing a piezoelectric transducer to measure forces or pressures in a machine and generate an electrical signal representing, for example, forces measured by the piezoelectric transducer. A threshold modulator circuit converts the electrical signal into a series of electrical pulses, which can be transmitted as a corresponding series of magnetic field pulses to a wireless receiver. The receiver reconstructs the original electrical signal, thereby enabling a receiver system to determine physical activities in the machine. The embodiment may be self-powered through use of power generated by the piezoelectric transducer.
Abstract:
System and method for measuring static load by using a piezoelectric load sensor with a feedback technique to compensate for the signal loss due to charge leakage, and therefore ensures measurement accuracy. The system is integrated with other structure, objects and devices to measure static loads applied to a mechanical shaft, in an on-line, in-process, quasi real-time fashion. The system can be used to measure static load and thus oversee an entire machine system or a manufacturing process.
Abstract:
Disclosed herein is a novel sensing technique, termed Multiple Excitation Capacitance Polling (MECaP), that improves the efficiency of Electrical Capacitance Tomography (ECT). Unlike traditional alternating current techniques, where excitation signal is applied to an electrode one at a time, MECaP involves simultaneously applying multiple excitation signals, in a progressively increasing fashion, to multiple electrodes on an ECT sensor. The received signals are filtered or otherwise decomposed (e.g., Fourier transformed) into different components, and the individual components are used to generate an image of the article or substance disposed between the electrodes. Because multiple capacitances can be simultaneously measured as a consequence, scanning with MECaP can significantly increase the image scanning speed. For example, scanning with MECaP may enable frames rates of tens of kHz for imaging dynamic processes such as engine combustion.
Abstract:
In an injection molding process, it can be difficult to detect, in real time, process control variables such as pressure and temperature. Traditional temperature detectors and pressure sensors can be difficult to place in or near a mold cavity. An example embodiment of the present invention includes a self-powered multivariate sensor and uses acoustic transmission. The sensor may employ an infra-red thermal detector and pressure sensor and transmit coded representations of measurements acoustically via a body of the mold. From the temperature and pressure, melt velocity and melt viscosity of a compound in the mold can be determined with a high degree of accuracy by a processor internal to or external from the sensor. The example embodiment maintains structural integrity of the mold, provides a wireless self-powered sensor, and makes available sensing of properties of the viscous compound to enable injection molded parts production at a success rate exceeding 90%.
Abstract:
A method of testing and monitoring operational integrity of a drilling rig is described. The method includes operating the drilling rig in a non-drilling mode at a sequence of different phases including an acceleration phase, a constant speed phase, and a decelerating phase, collecting sensor data associated with one or more components of the drilling rig while the drilling is operated in the non-drilling mode at the sequence of different phases, and analyzing the collected sensor data to determine the operational integrity of the drilling rig. The analyzed data, together with previously stored historical data is used to estimate the life expectancy of the rig and monitor, plan, control, or report maintenance activity for the drilling rig, top drive, or any other system.
Abstract:
In an injection molding process, it can be difficult to detect, in real time, process control variables such as pressure and temperature. Traditional temperature detectors and pressure sensors can be difficult to place in or near a mold cavity. An example embodiment of the present invention includes a self-powered multivariate sensor and uses acoustic transmission. The sensor may employ an infra-red thermal detector and pressure sensor and transmit coded representations of measurements acoustically via a body of the mold. From the temperature and pressure, melt velocity and melt viscosity of a compound in the mold can be determined with a high degree of accuracy by a processor internal to or external from the sensor. The example embodiment maintains structural integrity of the mold, provides a wireless self-powered sensor, and makes available sensing of properties of the viscous compound to enable injection molded parts production at a success rate exceeding 90%.
Abstract:
Multiple methods and corresponding apparatuses for efficient and reliable defect diagnosis in components of mechanical systems, are described. According to one aspect, multi-scale enveloping-order spectrogram is used to diagnose, or detect, defects in a moving component of a mechanical system. According to another aspect, defect identification and diagnosis in a motor is performed based on spectral characteristics of motor current envelope. According to yet another aspect, a logic rule model, employing classification of features associated with single- or multi-sensor data, is employed for diagnosis of defects in components of mechanical systems.
Abstract:
Disclosed herein is a novel sensing technique, termed Multiple Excitation Capacitance Polling (MECaP), that improves the efficiency of Electrical Capacitance Tomography (ECT). Unlike traditional alternating current techniques, where excitation signal is applied to an electrode one at a time, MECaP involves simultaneously applying multiple excitation signals, in a progressively increasing fashion, to multiple electrodes on an ECT sensor. The received signals are filtered or otherwise decomposed (e.g., Fourier transformed) into different components, and the individual components are used to generate an image of the article or substance disposed between the electrodes. Because multiple capacitances can be simultaneously measured as a consequence, scanning with MECaP can significantly increase the image scanning speed. For example, scanning with MECaP may enable frames rates of tens of kHz for imaging dynamic processes such as engine combustion.
Abstract:
A signal processing technique that decomposes complex, dynamically changing non-stationary signals from machine components such as bearings into different scales by means of a continuous wavelet transform. The envelope signal in each scale is then calculated from the modulus of the wavelet coefficients. Subsequently, Fourier transform is performed repetitively on the envelope of the signal at each scale, resulting in an “envelope spectrum” of the original signal at the various scales. The final output is a three-dimensional scale-frequency map that indicates the intensity and location of the defect-related frequency lines. The technique is generic in nature, and applicable not only to machine condition monitoring, but also to the health monitoring of a wide range of dynamic systems, including human beings.