Case Study: Predictive Maintenance

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Business Goals:

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Anticipate equipment failure for commercial printers

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Increase predictive maintenance

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Reduce reactive service calls by 30%

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Data Sets and Models:

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Log data from equipment

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Sensor readings

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Error, warning, and status codes

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Failure flag

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Machine ID#'s and diagram of manufacturing process

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Both random forests & neural network models trained on data

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Output and Benefits:

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Variables & patterns most related to future failure:

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Provides engineering insight into failure points

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Probability of failure within various time periods

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Model statistics like precision, recall, false positive rates, etc

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Anticipation & reduction of service calls:

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Calls reduced by 30+%

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Costs reduced by 20+%

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Many on-demand calls transformed into anticipatory ones

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Case Study:

Predictive Maintenance

Business Goals:

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Anticipate equipment failure.

Diamond-shaped dark icon as bullet point.

Increase predictive maintenance.

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Reduce reactive service calls by 30%.

Outputs & Benefits:

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Variables & patterns most related to future failure;

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Provides engineering insight into failure points.

Diamond-shaped dark icon as bullet point.

Probability of failure within various time periods.

Diamond-shaped dark icon as bullet point.

Model statistics like precision, recall, false positive rates, etc.

Diamond-shaped dark icon as bullet point.

Anticipation & reduction of service calls:

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Calls reduced by 30+%.

Diamond-shaped hollow icon as bullet point.

Costs reduced by 20+%.

Diamond-shaped hollow icon as bullet point.

Many on-demand calls transformed into anticipatory ones.

Person welding metal structure.

Data Sets & Models:

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Log data from equipment.

Diamond-shaped hollow icon as bullet point.

Sensor readings.

Diamond-shaped hollow icon as bullet point.

Error, warning, and status codes.

Diamond-shaped hollow icon as bullet point.

Failure flag.

Diamond-shaped dark icon as bullet point.

Machine ID#'s and diagram of manufacturing process.

Diamond-shaped dark icon as bullet point.

Both random forests & neural network models trained on data.