Method for analyzing operation of a machine
First Claim
1. A method for analyzing operation of at least one machine, comprising:
- collecting operation data for a machine over a plurality of predetermined time periods, the operation data including the respective time for a plurality of events that together form a set of mutually exclusive events that describe operation of the machine, the set of events including cycle events, starve events, blocked events, and down events;
determining for each of the predetermined time periods whether the machine is in an “
ON”
state or an “
OFF”
state based at least in part on the collected operation data;
removing data for the OFF states from at least a portion of the collected operation data, thereby generating a filtered data set; and
generating reliability information for the machine based at least in part on the filtered data set, thereby facilitating predictions of future machine operation, the step of generating reliability information including;
determining a reliability parameter based at least in part on the down events in the filtered data set;
choosing a probability density function; and
fitting the reliability parameter to the chosen probability density function.
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Accused Products
Abstract
A constraint analysis and reliability agent executes a method for analyzing operation of a manufacturing asset, and includes the steps of collecting operation data for a machine over a plurality of predetermined time periods. The operation data includes a plurality of mutually exclusive events that describe operation of the machine. For each of the predetermined time periods, it is determined whether the machine is in an “ON” or an “OFF” state. Data for the “OFF” states is removed from the collected data to generate a filtered data set. Reliability information is then generated based, at least in part, on the filtered data set. This facilitates predictions of future machine operation.
5 Citations
23 Claims
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1. A method for analyzing operation of at least one machine, comprising:
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collecting operation data for a machine over a plurality of predetermined time periods, the operation data including the respective time for a plurality of events that together form a set of mutually exclusive events that describe operation of the machine, the set of events including cycle events, starve events, blocked events, and down events; determining for each of the predetermined time periods whether the machine is in an “
ON”
state or an “
OFF”
state based at least in part on the collected operation data;removing data for the OFF states from at least a portion of the collected operation data, thereby generating a filtered data set; and generating reliability information for the machine based at least in part on the filtered data set, thereby facilitating predictions of future machine operation, the step of generating reliability information including; determining a reliability parameter based at least in part on the down events in the filtered data set; choosing a probability density function; and fitting the reliability parameter to the chosen probability density function. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method for analyzing operation of at least one machine, comprising:
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collecting operation data for a machine over a plurality of predetermined time periods, the operation data including the time for cycle events, starve events, blocked events, and down events; determining for each of the predetermined time periods whether the machine is in an “
ON”
state or an “
OFF”
state based at least in part on the collected operation data;removing data for the OFF states from at least a portion of the collected operation data, thereby generating a filtered data set; determining a time-to-failure parameter using at least the down events from the filtered data set; determining a time-to-repair parameter using at least the down events from the filtered data set; choosing a probability density function; and fitting the determined parameters to the chosen probability density function, thereby generating reliability information for the machine to facilitate predictions of future machine operation. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
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21. A method for analyzing operation of at least one machine, comprising:
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defining a work area having a plurality of machines; collecting corresponding operation data for the machines over a plurality of predetermined time periods, the operation data including the respective time for a plurality of events that together form a set of mutually exclusive events that describe operation of the machine, including the time for cycle events, starve events, blocked events, and down events for each respective machine; determining for each of the machines over each of the predetermined time periods whether the respective machine is in an “
ON”
state or an “
OFF”
state based at least in part on the respective collected operation data;removing data for the OFF states from at least a portion of the corresponding collected operation data for each machine, thereby generating a filtered data set that includes information for each machine; and generating reliability information for each machine based at least in part on the filtered data set, thereby facilitating predictions of future operation of each machine, the step of generating reliability information for each machine including; determining a reliability parameter for each machine based at least in part on the down events for the respective machine in the filtered data set; choosing a corresponding probability density function for each machine; and fitting each of the reliability parameters to the respective chosen probability density function. - View Dependent Claims (22, 23)
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Specification