A human expert creates sentences in a formal grammar to describe the state of a physical system through aspects of the behavior of such systems. A software process combines these sentences with historical data about physical systems of the same type and uses machine learning to generate a model that detects this state in such systems. These models are able to detect important states of physical systems, such as states that are predictive of future failures, without needing precise guidance from a human user.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for generating a model to detect a state of a physical system, comprising: acquiring sensor data concerning the physical system; utilizing a formal grammar to describe a subset of a natural human language relating to the behavior of at least one type of the physical system; utilizing a person to create an expression in the formal grammar; and utilizing an electronic processor to process the expression to generate a model that can be used to detect the state of the physical system. 2. The method of claim 1, wherein the formal grammar describes a technical language including technical terms, units of measure, and forms of expression. 3. The method of claim 1, wherein the sensor data comprises data generated other than through use of a sensor. 4. The method of claim 1, further comprising the processor receiving from the person an item of historical data in which a prior expression in the formal grammar holds true, and utilizes the historical data in generating the model. 5. The method of claim 1, wherein the formal grammar is parameterized according to terms derived from a database containing metadata about the physical system. 6. The method of claim 1, wherein the state is predictive of a future failure of the system. 7. The method of claim 1, wherein the state is characterized by an inefficient performance of the system. 8. The method of claim 1, further comprising generating the expression through an interactive GUI.