Abstract: A method for training a fault probability model using warranty claim data includes obtaining, by a processing circuit, a first data set for failed building devices based on warranty claim data associated with the building devices; receiving, by the processing circuit, design change data associated with the building devices and determining a design change date based on the design change data; comparing, by the processing circuit, a manufacturing date for each of the failed building devices with the design change date; removing, by the processing circuit, any building devices from the first data set in response to the manufacturing date preceding the design change date to create an updated first data set; generating, by the processing circuit, a training data set comprising the updated first data set; and training, by the processing circuit, a fault probability model using the training data set to produce a trained model.

Abstract: A method for dephosphorizing a manganese alloy by first desiliconizing the alloy to a level below 0.6%, and then dephosphorizing the low silicon alloy with barium carbonate or barium oxide in combination with an oxidizing agent. The lower the silicon content the better the results.

Abstract: A method for dephosphorizing a manganese containing melt is disclosed. The method encompasses the addition of a magnesium compound to a manganese containing melt to form magnesium phosphides which are removed from the melt. The method is carried out under pressure and the addition of a flux in the melt is employed to facilitate the removal of the phosphides from the melt.