Assessing historical telematic vehicle component maintenance records to identify predictive indicators of maintenance events

Patent metadata

Field	Value
Publication number	US-11625958-B2
Application number	US-202016854222-A
Country	US
Kind code	B2
Filing date	Apr 21, 2020
Priority date	Feb 8, 2018
Publication date	Apr 11, 2023
Grant date	Apr 11, 2023

Abstract

Apparatus, device, methods and system relating to a vehicular telemetry environment for monitoring vehicle components and providing indications towards the condition of the vehicle components and providing optimal indications towards replacement or maintenance of vehicle components before vehicle component failure.

First claim

What is claimed is:

1. A non-transitory computer readable storage medium storing instructions that, when executed by at least one computer hardware processor, cause the at least one computer hardware processor to perform a method to assess historical vehicle component maintenance and identify predictive indicators of maintenance events, the method comprising:
accessing operational component data prior to and post a vehicle component event data point, said operational component data including operational values from a vehicle component from a vehicle, said operational values representative of an operational life cycle use of said vehicle component, said operational values further based upon a measured component event,
accessing management event data, said management event data containing the vehicle component event data point for said vehicle, said vehicle component event data point including a date and a maintenance event indication,
filtering said operational component data, said filtering including determining a moving average of said operational component data, an upper control limit of said operational component data, plus two standard deviation of said operational component data, plus one standard deviation of said operational component data, a mean of said operational component data, minus one standard deviation of said operational component data, minus two standard deviation of said operational component data and a lower control limit of said operational component data,
deriving from said operational component data at least one signal representative of operational use of said vehicle component for said measured component event, and
comparing filtered operational component data with said at least one signal prior to said vehicle component event data point thereby identifying indicators associated with said maintenance event indication.

2. The non-transitory computer readable storage medium as in claim 1 , wherein said maintenance event indication is a component failure, said comparing identifies failure indicators, and said failure indicators include at least one of the following indicators:
a first failure indicator, said first failure indicator having a decreasing moving average from said mean of said operational component data to said minus one standard deviation of said operational component data,
a second failure indicator, said second failure indicator having first signals above and below said decreasing moving average, and
a third failure indicator, said third failure indicator having second signals below said lower control limit of said operational component data.

3. The non-transitory computer readable storage medium as in claim 2 , wherein said first signals include “0” signal values.

4. The non-transitory computer readable storage medium as in claim 2 , wherein said first signals include “Y” signal values.

5. The non-transitory computer readable storage medium as in claim 2 , wherein said first signals include “B” signal values.

6. The non-transitory computer readable storage medium as in claim 2 , wherein said second signals include “R” signal values.

7. The non-transitory computer readable storage medium as in claim 2 , wherein said second signals are a plurality of second signals decreasing in value away from said lower control limit of said operational component data.

8. The non-transitory computer readable storage medium as in claim 1 , wherein said comparing filtered operational component data with said at least one signal includes comparing the filtered operational component data with said at least one signal post said vehicle component event data point and said maintenance event indication is a component replacement and said component replacement was premature, said comparing identifies premature component replacement indicators, said premature component replacement indicators include at least one of the following indicators:
a first indicator, said first indicator having a moving average relatively constant between said mean and said plus one standard deviation prior to said vehicle component event data point, said first indicator having a moving average increasing in value from said mean to said plus one standard deviation followed by a relatively constant moving average at said plus one standard deviation,
a second indicator, said second indicator having signals above said lower control limit, and
a third indicator, said third indicator having signals above said mean.

9. The non-transitory computer readable storage medium as in claim 1 , wherein said comparing filtered operational component data with said at least one signal includes comparing the filtered operational component data with said at least one signal post said vehicle component event data point and said maintenance event indication is component maintenance and said comparing identifies component maintenance indicators, said component maintenance indicators include at least one of the following indicators:
a first indicator, said first indicator having a moving average relatively constant and above said minus two standard deviation prior to said vehicle component event data point and a moving average increasing in value post said vehicle component event data point, and
a second indicator, said second indicator having signals above said lower control limit.

10. The non-transitory computer readable storage medium as in claim 1 , wherein said maintenance event indication is component failure and said comparing identifies indicators for an incorrect date for said maintenance event indication, said indicators include at least one of the following indicators:
a first failure indicator, said first failure indicator where said moving average is not decreasing from said mean of said operational component data to said minus one standard deviation of said operational component data,
a second failure indicator, said second failure indicator where first signals are not above and below a decreasing moving average, and
a third failure indicator, said third failure indicator where second signals are not below said lower control limit of said operational component data.

Assignees

• Geotab Inc

Inventors

• Davidson Mark Jeffrey
• Kyes John Robert Ford
• Walli Thomas Arthur

Classifications

• B60N2230/20

  Wireless data transmission · CPC title

• B60N2/0024

  for identifying, categorising or investigation of the occupant or object on the seat · CPC title

• G07C5/085

  using electronic data carriers · CPC title

• G07C5/0816

  Indicating performance data, e.g. occurrence of a malfunction · CPC title

• B60L58/16

  responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH] · CPC title