Abstract:
A system and method for fault diagnosis includes receiving information defining a relationship between failure modes and diagnostic trouble codes and extracting diagnostic trouble code data, including set times, frequency data and diagnostic trouble code sequence information for a plurality of diagnostic trouble codes relating to a plurality of failure modes. The system and method further include constructing a Markov chain using the diagnostic trouble code data for each of the plurality of failure modes, training the Markov chain to learn a set of state parameters using the diagnostic trouble code data, and computing a likelihood of a diagnostic trouble code sequence for each of the plurality of failure modes using the trained Markov chains.
Abstract:
A system and method for fault diagnosis includes receiving information defining a relationship between failure modes and diagnostic trouble codes and extracting diagnostic trouble code data, including set times, frequency data and diagnostic trouble code sequence information for a plurality of diagnostic trouble codes relating to a plurality of failure modes. The system and method further include constructing a Markov chain using the diagnostic trouble code data for each of the plurality of failure modes, training the Markov chain to learn a set of state parameters using the diagnostic trouble code data, and computing a likelihood of a diagnostic trouble code sequence for each of the plurality of failure modes using the trained Markov chains.
Abstract:
Systems and methods for capturing and analyzing significant parameter data from vehicle systems whenever a diagnostic trouble code (DTC) is triggered. A multi-dimensional matrix is constructed, with vehicles, DTCs, and parameter data comprising three dimensions of the matrix. The data matrix is populated with DTC and parameter data from many different vehicles, either when vehicles are taken to a dealer for service, or via wireless data download. Time can be added as a fourth dimension of the matrix, providing an indication of whether a particular system or component is temporally degrading. When sufficient data is accumulated, the data matrix is pre-processed, features are extracted from the data, and the features are classified, using a variety of mathematical techniques. Trained classifiers are then used to diagnose the root cause of any particular fault signal, and also to provide a prognosis of system health and remaining useful life.
Abstract:
Systems and methods for capturing and analyzing significant parameter data from vehicle systems whenever a diagnostic trouble code (DTC) is triggered. A multi-dimensional matrix is constructed, with vehicles, DTCs, and parameter data comprising three dimensions of the matrix. The data matrix is populated with DTC and parameter data from many different vehicles, either when vehicles are taken to a dealer for service, or via wireless data download. Time can be added as a fourth dimension of the matrix, providing an indication of whether a particular system or component is temporally degrading. When sufficient data is accumulated, the data matrix is pre-processed, features are extracted from the data, and the features are classified, using a variety of mathematical techniques. Trained classifiers are then used to diagnose the root cause of any particular fault signal, and also to provide a prognosis of system health and remaining useful life.
Abstract:
There is provided a hole saw system comprising a hole saw including a bottom portion and a body portion; a mandrel, including apparatus for receiving the hole saw; wherein the hole saw includes a plurality of slot pairs, the slot pairs being offset from each other on the body portion allowing a tool to be inserted into one of the slot pairs for removal of a slug.
Abstract:
A method of detecting anomalies in the service repairs data of equipment. A failure mode-symptom correlation matrix correlates failure modes to symptoms. Diagnostic trouble codes are collected for an actual repair for the equipment. The diagnostic trouble codes are provided to a diagnostic reasoner for identifying failure modes. Diagnostic assessment is applied by the diagnostic reasoner for determining the recommended repairs to perform on the equipment in response to identifying the failure modes. Each of the recommended repairs is compared with the actual repair used to repair the equipment. A mismatch is identified in response to any recommended repair not matching the actual repair. Reports are generated for displaying all of the identified mismatches. The reports are analyzed for determining repair codes having an increase in a number of anomalies. Service centers are alerted of a correct repair for the identified failure mode.
Abstract:
The invention is directed at a quick connect mechanism for mounting a hole saw to a tool comprising a hole saw; a mandrel having a first end for mounting to the hole saw and a second end for mounting to the tool; and a drill bit, assembled within the mandrel such that when the mandrel is connected to the hole saw, the drill bit being concentrically centred within the hole saw; a holder, mounted to the tool, for receiving the second end of the mandrel; wherein the second end of the mandrel includes quick connect means for easily mounting the mandrel to and releasing the mandrel from the holder.
Abstract:
The present invention is directed at a hole saw mandrel which is used to connect a drill with a hole saw. The mandrel includes a tool end for connecting the hole mandrel with the drill; a hole cutting end including a hole saw receiving means and a drill bit receiving means; and a central portion connecting the tool end to the hole cutting end; wherein the hole saw receiving means comprising a collar which is independent of the central portion so that no play is experienced between a hole saw and the hole saw mandrel when the hole saw is in use. The hole saw mandrel may also include an ejector to eject a slug from the hole saw after a hole has been cut.