A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

A method for detection and analysis of an external event occurring on an automotive glazing that includes receiving a signal with characteristic information of at least one electrical signal resulting from an occurrence of the external event on the automotive glazing. The method further includes applying the signal with characteristic information to a computer-implemented classification model, where for each of one or more quantities related to the characteristic information, a prediction is made of a value of a parameter indicative of the external event. The method further includes deriving a decision on whether to replace or repair based on the value of the parameter from the predictions.

A method for detection and analysis of an external event occurring on an automotive glazing that includes receiving a signal with characteristic information of at least one electrical signal resulting from an occurrence of the external event on the automotive glazing. The method further includes applying the signal with characteristic information to a computer-implemented classification model, where for each of one or more quantities related to the characteristic information, a prediction is made of a value of a parameter indicative of the external event. The method further includes deriving a decision on whether to replace or repair based on the value of the parameter from the predictions.

A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

According to one embodiment, an electronic device includes a power-supply voltage input terminal, a first capacitor, and a second capacitor. The first capacitor has a fixed capacitance. The second capacitor has a variable capacitance. The first capacitor and the second capacitor are connected in parallel to the power-supply voltage input terminal.

According to one embodiment, an electronic device includes a power-supply voltage input terminal, a first capacitor, and a second capacitor. The first capacitor has a fixed capacitance. The second capacitor has a variable capacitance. The first capacitor and the second capacitor are connected in parallel to the power-supply voltage input terminal.

A system for monitoring at least one machine including a plurality of magnetic sensors synchronously sensing magnetic fields emitted by at least one machine, along a corresponding plurality of channels and outputting magnetic field emission signals corresponding to the magnetic fields, a signal analyzer receiving at least a portion of the magnetic field emission signals, performing analysis thereof, and providing an output based on the analysis, the output including at least an indication of a condition of the at least one machine, and a control module receiving the indication of the condition and initiating at least one of a repair event on the at least one machine, an adjustment to a maintenance schedule of the at least one machine and an adjustment to an operating parameter of the at least one machine based on the indication, whereby efficacy of the at least one machine is improved.

A system for monitoring at least one machine including a plurality of magnetic sensors synchronously sensing magnetic fields emitted by at least one machine, along a corresponding plurality of channels and outputting magnetic field emission signals corresponding to the magnetic fields, a signal analyzer receiving at least a portion of the magnetic field emission signals, performing analysis thereof, and providing an output based on the analysis, the output including at least an indication of a condition of the at least one machine, and a control module receiving the indication of the condition and initiating at least one of a repair event on the at least one machine, an adjustment to a maintenance schedule of the at least one machine and an adjustment to an operating parameter of the at least one machine based on the indication, whereby efficacy of the at least one machine is improved.

The invention relates to a system for representing vibrations for a vehicle, comprising a vehicle seat with an upper part and a lower part, which are mounted movably relative to each other by means of a vibration device, wherein at least a first sensor, which is adapted to detect at least one first characteristic of a first acceleration of the upper part relative to the lower part, is arranged on the upper part, and wherein at least one second sensor, which is adapted to detect at least one second characteristic of a second acceleration of the lower part relative to a subsurface of the vehicle, is arranged on the lower part, wherein a display device is arranged with a first section and a second section, in each case exhibiting a complete division into at least two, preferably three segments, wherein the size ratios of the at least two segments to one another can be updated depending on a current value of the at least one first characteristic or the at least one second characteristic.

A system for continuously monitoring at least one machine including a plurality of magnetic sensors synchronously sensing magnetic fields emitted by at least one machine, the plurality of magnetic sensors sensing the magnetic fields along a corresponding plurality of channels and outputting magnetic field emission signals corresponding to the magnetic fields, a signal analyzer receiving at least a portion of the magnetic field emission signals and performing analysis of the magnetic field emission signals, the signal analyzer providing an output based on the analysis, the output including at least an indication of a condition of the at least one machine and a control module receiving the indication of the condition and initiating at least one of a repair event on the at least one machine, an adjustment to a maintenance schedule of the at least one machine and an adjustment to an operating parameter of the at least one machine based on the indication, whereby efficacy of the at least one machine is improved.