The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 18, 2024

Filed:

Jun. 29, 2022
Applicant:

Western Digital Technologies, Inc., San Jose, CA (US);

Inventors:

Hedan Zhang, Santa Clara, CA (US);

Chaolun Zheng, Sunnyvale, CA (US);

Ning Ye, San Jose, CA (US);

Bret Dee Winkler, Mission Viejo, CA (US);

Yanjun Xia, San Jose, CA (US);

Wei Wu, Irvine, CA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/00 (2006.01); G06F 11/07 (2006.01); G06F 11/30 (2006.01);
U.S. Cl.
CPC ...
G06F 11/0793 (2013.01); G06F 11/073 (2013.01); G06F 11/076 (2013.01); G06F 11/3037 (2013.01); G06F 11/3058 (2013.01); G06F 2201/81 (2013.01);
Abstract

Methods and apparatus for detecting a failed temperature sensor within a data storage device and for mitigating the loss of the sensor are provided. One such data storage device includes a non-volatile memory (NVM), a set of temperature sensors, and a processor coupled to the NVM and the temperature sensors. The processor is configured to detect failure of one of the temperature sensors and obtain temperature data from the other temperature sensors. The processor is further configured to estimate, based on the obtained temperature data, the temperature at the failed sensor, and then control at least one function of the data storage device based on the estimated temperature, such as controlling entry into a Read Only mode. In some examples, the processor estimates the temperature at the failed sensor or at various virtual sensor locations using pre-determined formulas having offsets and coefficients determined during an initial machine learning calibration procedure.


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