Accessory Group Packages

Table 3

Accessories

 

 

Group Packages

 

 

STDS

EXES

CONS

SENS

SPES

PSGS

 

6P

 

 

 

 

 

 

A1

 

 

 

 

 

 

A1E

 

 

 

 

 

 

A3

 

2

2

2

2

3

A4

 

2

2

2

2

3

Calibrate

 

 

 

 

 

 

CDT

 

 

 

 

 

 

CDP

 

 

 

 

 

 

**DS

 

 

 

 

 

 

*DT

 

 

 

 

 

 

*DW

 

 

 

 

 

 

E

 

 

 

 

 

 

EL/P

 

 

 

 

 

 

K/P

 

 

 

 

 

 

L1

 

 

 

 

 

 

L2

 

 

 

 

 

 

L3

 

 

 

 

 

 

L4

 

 

 

 

 

 

*LN

 

 

 

 

 

 

P1

 

 

 

 

 

 

Q2

 

 

 

 

 

 

Q3

 

 

 

 

 

 

Q7

 

 

 

 

 

 

R1-1

 

 

 

 

 

 

R1-3

 

 

 

 

 

 

R15

 

 

 

 

 

 

*R15D

 

 

 

 

 

 

R16

 

 

 

 

 

 

R50

 

 

 

 

 

 

S5P

 

 

 

 

 

 

S12P

 

 

 

 

 

 

S13P

 

 

 

 

 

 

T

 

 

 

 

 

 

T3/W3

2

2

2

2

2

2

U

 

 

 

 

 

 

UMD

2

2

2

2

2

2

VI

 

 

 

 

 

 

W

YEN

22

3

Standard Accessory included in the group package.

Optional Accessory not included but can be added to group package. Optional Accessory. Can not be used with accessory having the same symbol. N/A

Denotes an Accessory with 2 circuits as a standard. Denotes an Accessory with 3 circuits as a standard.

*Delayed Transition Units Only.

**Optional for 40-400 Amp

GE Zenith Controls

ZBTS / ZBTSD Operation and Maintenance Manual (71R-4000A)

9

Page 11
Image 11
GE ZBTSD manual Accessory Group Packages, Stds Exes Cons Sens Spes Psgs

ZBTS, ZBTSD specifications

General Electric (GE) has established itself as a leader in the field of industrial automation and control systems, with its ZBTSD and ZBTS series representing some of the most advanced technology available. These systems are engineered to enhance performance, efficiency, and reliability in various industrial applications.

The ZBTSD, or Zero-Based Time Series Data, is designed to optimize data storage and retrieval processes. One of its main features is its ability to provide real-time monitoring and analytics of dynamic processes. This capability is crucial for industries that require immediate insights into their operations, helping to minimize downtime and enhance decision-making. The ZBTSD utilizes advanced machine learning algorithms to identify trends and patterns, enabling predictive maintenance that can significantly reduce operational costs.

On the other hand, the ZBTS, or Zero-Based Time Series Solutions, focuses on delivering comprehensive solutions for time series data management. This system is adept at handling vast amounts of data generated by industrial equipment, ensuring that organizations can efficiently process and analyze this information. Key characteristics of ZBTS include scalability, which allows companies to expand their systems as their data grows, and flexibility, permitting integration with various data sources.

One notable technology employed in both ZBTSD and ZBTS is cloud computing. By leveraging the cloud, these systems offer enhanced data accessibility and collaboration capabilities. Users can access critical data anytime, anywhere, facilitating timely responses to operational challenges.

Another significant feature is robust cybersecurity measures. With the increasing number of cyber threats in industrial environments, GE has prioritized security in the ZBTSD and ZBTS systems. These solutions are equipped with advanced encryption protocols and user authentication mechanisms to protect sensitive data from unauthorized access.

The user interface of both systems is designed to be intuitive, allowing operators to interact with the systems efficiently. Customizable dashboards provide visual representations of key performance indicators, making it easier for users to comprehend complex data at a glance.

In summary, GE's ZBTSD and ZBTS systems exemplify the integration of cutting-edge technology in industrial automation. Their emphasis on real-time data analytics, scalability, cybersecurity, and user-friendly design positions them as invaluable tools for organizations seeking to enhance operational efficiency and decision-making. As industries continue to evolve, these systems will play a pivotal role in shaping the future of industrial automation and data management.