System, method, and computer program product for predictive maintenance

Patent metadata

Field	Value
Publication number	US-12205715-B2
Application number	US-202217581648-A
Country	US
Kind code	B2
Filing date	Jan 21, 2022
Priority date	Aug 18, 2017
Publication date	Jan 21, 2025
Grant date	Jan 21, 2025

Abstract

A method, system, and computer program product for predictive maintenance. A method may include receiving operation data associated with one or more injection systems, wherein the operation data includes one or more operation parameters associated with one or more operations of the one or more injection systems: determining one or more prediction scores for the one or more injection systems based on the operation data, wherein the one or more prediction scores include one or more predictions of one or more operation failures or misuses for the one or more injection systems; and providing maintenance data associated with the one or more operation failures or misuses, wherein the maintenance data is based on the one or more prediction scores.

First claim

The invention claimed is:

1. A predictive maintenance system comprising:
one or more injection systems including an injector including a motor configured to one of: (i) move a plunger via a respective piston element to deliver fluid from a syringe of the injector and (ii) power a pump to pump fluids from a fluid source of the injector;
one or more vibration monitoring sensors configured to measure a vibration frequency and/or amplitude of the injector motor of the injector during one of: (i) moving, with the motor, the plunger to deliver fluid from the syringe of the injector and (ii) powering, with the motor, the pump to pump fluids from the fluid source of the injector, for the one or more injection systems for one or more injection operations;
a computer system comprising one or more processors programmed or configured to:
receive operation data associated with the one or more injection systems, wherein the operation data includes one or more operation parameters associated with one or more operations of the one or more injection systems, and wherein the one or more operation parameters include for each of the one or more injection systems the vibration frequency and/or amplitude of the injector motor thereof measured by the one or more vibration monitoring sensors for the one or more injection operations;
determine one or more prediction scores for the one or more injection systems based on the operation data including for each of the one or more injection systems the vibration frequency and/or amplitude of the injector motor thereof measured by the one or more vibration monitoring sensors for the one or more injection operations, wherein the one or more prediction scores include one or more predictions of one or more operation failures or misuses for the one or more injection systems associated with a build-up of wear, contrast, and/or dirt in connection therewith, such that an effect of the build-up of wear, contrast, and/or dirt for each of the one or more injection systems is determined by applying a pattern prediction model to the vibration frequency and/or amplitude of the injector motor thereof measured by the one or more vibration monitoring sensors;
provide maintenance data associated with the one or more operation failures or misuses, wherein the maintenance data is determined based on the one or more prediction scores, wherein the maintenance data includes a prediction of a remaining time of use and/or a remaining number of uses for the one or more injection systems until one or more operation failures or misuses for the one or more injection systems associated with a build-up of wear, contrast, and/or dirt in connection therewith; and
automatically disable, based on the maintenance data, the one or more injection systems from performing an injection operation.

2. The predictive maintenance system of claim 1 , wherein the one or more operations include at least one of the following operations of the one or more injection systems: a hardware operation of one or more hardware components, a mechanical operation, an electrical operation, a software operation of one or more software applications, a user interface operation, a communication operation, or any combination thereof.

3. The predictive maintenance system of claim 2 , wherein the one or more operations include the hardware operation of the one or more hardware components, and wherein the one or more hardware components include at least one of the following hardware components of the one or more injection systems: a microprocessor, a memory, a storage component, an input component, an output component, a circuit board, a sensor, a pump, a valve, or any combination thereof.

4. The predictive maintenance system of claim 2 , wherein the one or more operations include the mechanical operation, and wherein the mechanical operation includes providing the one or more fluids from the one or more fluid sources.

5. The predictive maintenance system of claim 1 , wherein the one or more operation parameters include at least one of the following operation parameters associated with the one or more operations of the one or more injection systems: a mechanical force produced by the motor of the one or more injection systems; an achieved pressure; number of injections performed; a resistance; a current; a voltage; a noise or signal level; a movement above a threshold movement; power line conditions; an energy consumption; a duration of time powered-on; a linear amount of power delivered or used; a non-linear amount of power delivered or used; a flow rate during one or more injections; a difference between the flow rate during the one or more injections and a programmed flow rate of the one or more injections; a volume pumped and/or delivered during the one or more injections; a difference between the volume pumped and/or delivered during the one or more injections and a programmed volume to be pumped and/or to be delivered during the one or more injections; a duration of time of the one or more injections; a pressure limit or threshold beyond which the one or more injection systems are programmed to cease delivery of the one or more injections; a temperature and/or a humidity within the one or more injection systems; a number of times power has been cycled; a number, a duration and/or a type of user interface keys actuated; an existence or operability of communications with one or more other systems or devices; a number and/or a type of error codes received; a number of scans performed by one or more image capture devices before a successful scan of at least one bar code; a number of one or more disposables sold to and/or used by an associated customer; a type of contrast used; a temperature over one or more time periods within the one or more injection systems; a temperature and/or a humidity of an environment surrounding the one or more injection systems; an indication of liquid within the one or more injection systems; an identifier of a user or operator; a staff rating of wear; a staff rating of cleanliness; or any combination thereof.

6. The predictive maintenance system of claim 5 , wherein the one or more operation parameters include the mechanical force produced by the motor, and wherein the predictive maintenance system further comprises:
one or more force sensors configured to measure the mechanical force produced by the motor to provide the one or more fluids from the one or more fluid sources, wherein the one or more prediction scores include one or more predictions of one or more operation failures or misuses for the one or more injection systems associated with a build-up of wear, contrast and/or dirt in connection therewith such that an effect of the build-up of wear, contrast and/or dirt for each of the one or more injection systems is determined by a comparison of the force of the motor thereof for a current or more recent injection operation to the force of the motor thereof for one of previous injection operations and a calibration operation of the motor.

7. The predictive maintenance system of claim 5 , wherein the one or more operation parameters include the flow rate during the one or more injections and the volume pumped and/or delivered during the one or more injections, and wherein the one or more prediction scores include one or more predictions of one or more operation failures or misuses for the one or more injection systems associated with a build-up of wear, contrast and/or dirt in connection therewith such that an effect of the build-up of wear, contrast and/or dirt for each of the one or more injection systems is determined by applying at least one of a cube root life equation and one or more other suitable equations to the flow rate during the one or more injections and the volume pumped and/or delivered duri

Assignees

• Bayer Healthcare Llc

Inventors

• Schriver Ralph
• Uber Iii Arthur
• Archibald Janele
• Brewer Matthew
• Chaya Amy
• Fiorentini Christopher
• Griffiths David
• Hartmann Jacob
• Hulbert Joseph
• Michel Susan
• Petrilli Janel
• Pogozelec Michael
• Skirble Barry

Classifications

• G06Q10/20

  Administration of product repair or maintenance · CPC title

• G05B23/0283

  Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] (preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06) · CPC title

• G05B23/024

  Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks · CPC title

• G16H20/17

  delivered via infusion or injection · CPC title

• G05B23/0208

  characterized by the configuration of the monitoring system · CPC title